{ "fetched_at": "2026-10-19T22:45:54Z", "source_url": "https://www.kaggle.com/competitions/ctai-ctd-hackathon/data", "pages": [ { "name": "data-description", "content": "The dataset contains information on **construction projects and associated material invoices**, combining project metadata, material details, and cost information. \n\n### Project Information \n- **PROJECTNUMBER** → Unique identifier for each project. \n- **PROJECT_CITY** → City where the project is located. \n- **STATE** → State (for U.S. projects). \n- **PROJECT_COUNTRY** → Country of the project. \n- **CORE_MARKET** → Core market segment (e.g., Enterprise, Future Tech, Tertiary Learning). \n- **PROJECT_TYPE** → Type of project (e.g., Workspace, Critical Ops, R&D Labs). \n- **SIZE_BUILDINGSIZE** → Total building size (square footage). \n- **NUMFLOORS** → Number of floors in the building. \n- **NUMROOMS** → Number of rooms. \n- **NUMBEDS** → Number of beds (for residential/hospital-type projects). \n- **CONSTRUCTION_START_DATE** → Official project start date. \n- **SUBSTANTIAL_COMPLETION_DATE** → Estimated completion date. \n- **REVISED_ESTIMATE** → Revised project cost estimate. \n- **M_W** →Mega Watt Total Capacity. \n\n### Invoice & Material Information \n- **invoiceId** → Unique invoice identifier. \n- **invoiceDate** → Date of the invoice. \n- **invoiceTotal** → Total invoice amount. \n- **ItemDescription** → Description of the material/item. \n- **MasterItemNo** → Unique item code. \n- **QtyShipped** → Quantity shipped. \n- **UOM** → Unit of measurement (e.g., pcs, box, TB, PC). \n- **ExtendedQuantity** → Adjusted/converted material quantity. \n- **PriceUOM** → Price per unit of measure. \n- **UnitPrice** → Price of a single unit. \n- **ExtendedPrice** → Total price for the line item. \n\n### Notes \n- Some fields (e.g., `NUMROOMS`, `NUMBEDS`, `ExtendedPrice`) have missing values. \n- Numeric fields like `UnitPrice`, `ExtendedPrice`, and `invoiceTotal` may contain string formatting (e.g., commas, currency symbols) that require cleaning. \n- The dataset enables participants to link **project metadata** with **material consumption and costs**, which is crucial for building forecasting and procurement models. \n\n\n## Data Fields \n\n| Column Name | Type | Description |\n|------------------------------|-----------|-------------|\n| **PROJECTNUMBER** | object | Unique identifier for each project |\n| **PROJECT_CITY** | object | City where the project is located |\n| **MW** | float | Mega Watt Total Capacity. |\n| **STATE** | object | State (for U.S. projects) |\n| **PROJECT_COUNTRY** | object | Country of the project |\n| **CORE_MARKET** | object | Core market segment (e.g., Enterprise, Future Tech) |\n| **PROJECT_TYPE** | object | Type of project (e.g., Workspace, Critical Ops, R&D Labs) |\n| **SIZE_BUILDINGSIZE** | float | Total building size (square footage) |\n| **NUMFLOORS** | float | Number of floors in the building |\n| **NUMROOMS** | float | Number of rooms |\n| **NUMBEDS** | float | Number of beds (for residential/hospital-type projects) |\n| **invoiceId** | object | Unique invoice identifier |\n| **invoiceDate** | object | Date of the invoice |\n| **invoiceTotal** | object | Total invoice amount (string, requires cleaning) |\n| **ItemDescription** | object | Description of the material/item |\n| **MasterItemNo** | int | Unique item code |\n| **QtyShipped** | object | Quantity shipped (string, may need conversion) |\n| **UOM** | object | Unit of measurement (e.g., pcs, box, TB, PC) |\n| **ExtendedQuantity** | object | Adjusted/converted material quantity |\n| **PriceUOM** | object | Price per unit of measure |\n| **UnitPrice** | object | Price of a single unit (string, may need conversion) |\n| **ExtendedPrice** | object | Total price for the line item (string, may need conversion) |\n| **CONSTRUCTION_START_DATE** | object | Official project start date |\n| **SUBSTANTIAL_COMPLETION_DATE** | object | Estimated project completion date |\n| **REVISED_ESTIMATE** | float | Revised project cost estimate |\n\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Objective", "content": "Participants are tasked with developing an end-to-end solution that will: \n\n1. **Forecast material quantities** using a predictive model built on project parameters such as type, size, core market segment, projected volume, and region. \n2. **Identify suitable vendors** for the predicted materials by leveraging web scraping or other data-sourcing techniques. \n3. **Design a procurement timeline** that accounts for vendor lead times and ensures timely availability of materials. \n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "rules", "content": "## Official Competition Rules \n\n**ENTRY IN THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL COMPETITION RULES.** \nSee Section 3.18 for defined terms. \n\nThis Competition is a **skills-based challenge** designed to promote and further the field of data science. \n\n- Only Candidates **[registered via the Competition Website](https://ctai.in/events/ctd-2025/ai-ml-hackathon-2025/)** are eligible for Prizes.\n- **Sharing your email before joining is must**.\n- By entering, you agree to these **Official Competition Rules**, which include the Competition Website provisions and any Competition-Specific Rules herein (collectively, the \"Rules\"). \n- Submitting an entry constitutes acceptance of these Rules. \n- You may not participate or be eligible for prizes unless you agree to these Rules. \n\nAll submissions must follow the requirements stated on the Competition Website and will be scored using the evaluation metric described there along with code evaluation and Solution approach. \nFor hackathon-designated competitions, Submissions will also be evaluated by the Competition Sponsor using the published **Evaluation Rubric**. \n\nYou may not register or submit from multiple Kaggle accounts. \n\n---\n\n### 1. Competition-Specific Terms \n\n**1. Competition Name:** Predictive Models for Material Requirement Prediction in Supply Chain \n**2. Organizer:** CTAI Foundation \n**3. Sponsor :** [vConstruct Private Limited](https://vconstruct.com/)\n**4. Competition Website:** [CTAI Hackathon 2025](https://ctai.in/events/ctd-2025/ai-ml-hackathon-2025/) \n**5. Total Prizes Available:** INR 150,000 \n\n- First Prize: **INR 100,000** + **Free Ticket to CTAI Event (IIT Bombay)** \n- Second Prize: **INR 50,000** + **Free Ticket to CTAI Event (IIT Bombay)** \n- Third to Tenth Prize: **Free Ticket to CTAI Event (IIT Bombay)** \n\nTop 2 winners will have their stay and accommodation covered, reimbursed on submission of valid bills.\nTravel + Accommodation reimbursement is capped at ₹10,000 or reimbursed on actuals, whichever is lower.\n\n\n### 2. Competition-Specific Rules \n\n#### 2.1 Team Limits \n- Maximum team size: **4 participants**. \n- Team mergers are allowed before the Team Merger Deadline, provided the combined team does not exceed the allowed submission count (daily limit × competition days elapsed). \n\n#### 2.2 Submission Limits \n- Maximum **5 submissions per day**. \n- You may select up to **1 final submission** for judging. \n\n#### 2.3 Competition Timeline \n- Timeline details (Start Date, Entry Deadline, Team Merger Deadline, and Final Submission Deadline) will be reflected on the **Overview > Timeline** page of the competition website. \n\n#### 2.4 Competition Data \n\n**a. Data Access and Use** \n- Data may be used **only for this competition** and on Kaggle.com forums. \n- Use of the data for other purposes may result in disqualification. \n\n**b. Data Security** \n- You must take reasonable steps to prevent unauthorized access to the Competition Data. \n- Do not share, redistribute, or republish the data. \n- Any suspected unauthorized access must be reported to Kaggle immediately. \n\n#### 2.5 Winner License \nIf you are declared a winner, you grant the Competition Sponsor: \n- (Refer to section [4])\n- The Sponsor may request detailed methodology and documentation (e.g., architecture, preprocessing, loss function, training details, hyperparameters) along with a public code repository to ensure reproducibility. \n\n#### 2.6 External Data and Tools \n- You may use external datasets if they are **publicly available, free of cost, and equally accessible to all participants**. \n- Tools such as AutoML platforms (e.g., H2O Driverless AI, Google AutoML) are allowed, provided you hold valid licenses. \n- Proprietary datasets or paid tools that create **unfair advantages** are **not permitted** and host is not responsible for payment of those tools. \n\n#### 2.7 Eligibility \n- Employees, interns, or contractors of the Competition Sponsor or Kaggle may participate but **are not eligible for prizes**. \n- Participants are subject to internal policies of their employers regarding participation. \n\n#### 2.8 Winner’s Obligations \nTo claim a prize, winners must: \n1. Deliver the final model’s source code, training and inference scripts, and documentation required to reproduce the winning submission. \n2. Grant the license described in Section 2.5. \n3. Complete and sign all required Prize documentation (eligibility certifications, tax forms, licenses, releases, etc.). \n\n####2.9 Valid Solution\nTo qualify as a valid submission for the competition: \n1. All **code files** must be included. \n2. The **CSV file** generated from the solution must be provided. \n3. Both code files and the CSV file should be packaged together in a **single zipped folder** for submission.\n\nThese Rules, along with the General Kaggle Competition Rules, govern your participation in the Competition. Please read carefully before submitting. \n\n### 3. Winner Selection & Announcement\n1. The **public/private leaderboard** will serve as a preliminary indicator only and may not represent the final standings. \n2. **Final winners** will be determined based on multiple factors: \n - Code quality \n - Solution approach and innovation \n - Reproducibility of results \n - Kaggle-based evaluation metrics \n3. The **leaderboard rankings** will be used to shortlist the top contestants for the final review. \n4. In case of a **tie** after the final evaluation, the prize pool for the tied positions will be shared equally among the winners. \n\n###4. License Policy\n1. The Hackathon Sponsor (“Sponsor”) may provide certain datasets, proprietary information, or materials (“Confidential Information”) to participants (“Innovators”) solely for the purposes of the Hackathon.\n2. Innovators agree to maintain strict confidentiality of this data, and shall not disclose, transfer, or otherwise make such information available to any third party without the prior written consent of the Sponsor.\n3. All rights, title, and interest in and to Confidential Information and any data supplied by the Sponsor shall remain the sole property of the Sponsor. Nothing herein shall be construed as granting any rights of ownership to Innovators in respect of such Confidential Information or data.\n4. With respect to all this data shared in hackathon, by Hackathon Sponsors could not be used by any participant/ innovator for their personal/ commercial use.\n5. Any solution, code, prototype, model, algorithm, documentation, or other work product developed by Innovators during the Hackathon (collectively, the “Developed Works”) shall constitute Shared Intellectual Property (“Shared IP”) between the Sponsor and the Innovator(s).\n6. Neither party shall claim exclusive ownership of the Developed Works, and both Sponsor and Innovator acknowledge and agree that the Shared IP arrangement entitles both parties to exploit, commercialize, or further develop the Developed Works independently or collaboratively. \n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "abstract", "content": "Efficient material forecasting is critical for ensuring **timely and cost-effective delivery** in construction and manufacturing projects. \nHowever, variations in project type, size, and market demand often make manual estimates unreliable — resulting in costly **overstocking** or **critical shortages**. \n\n### Challenges with Manual Estimation \n- **Overstocking** → Ties up working capital and storage space. \n- **Shortages** → Causes project delays and increased costs. \n\n### Opportunity with Machine Learning \nBy applying **predictive modeling** and integrating it into supply chain workflows, organizations can improve: \n- **Material visibility** \n- **Procurement planning efficiency** \n- **Project delivery timelines** \n\n### Your Challenge \nDevelop a **predictive analytics solution** that: \n1. Estimates the **type and quantity of materials** required for upcoming projects using historical consumption patterns and project metadata. \n2. Identifies **nearby vendors** to source the predicted materials efficiently. \n\n### Link to the webinar session recording\n- [Webinar 22nd August](https://dprprod-my.sharepoint.com/:v:/g/personal/nileshb_vconstruct_in/EcyADfBtp5hHuoVSjsl6OsYBexieDfWzgR65wAOm05nb2Q?e=Sd427c)\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Prizes", "content": "A total prize pool of **INR 150,000** and special rewards are available for top participants. \n\n- **1st Place** — INR 100,000 \n- **2nd Place** — INR 50,000 \n- **3rd to 10th Place** — Free Passes to the CTD Event (IIT Bombay) \n\n**Additional**\n- Top 2 winners will have their stay and accommodation covered, reimbursed on submission of valid bills.\n- Travel + Accommodation reimbursement is capped at ₹10,000 or reimbursed on actuals, whichever is lower.\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "foundational-rules", "content": "The following Kaggle Competition Foundational Rules (“ Foundational Rules ”) apply to every competition regardless of whether the Sponsor creates competition-specific rules. Any competition-specific rules provided by the Sponsor are in addition to these rules, and in the case of any conflict or inconsistency, these Foundational Rules control and nullify contrary competition-specific rules.\n###GENERAL COMPETITION RULES - BINDING AGREEMENT\n####1. ELIGIBILITY\na. To be eligible to enter the Competition, you must be:\n1. a registered account holder at Kaggle.com; \n2. the older of 18 years old or the age of majority in your jurisdiction of residence (unless otherwise agreed to by Competition Sponsor and appropriate parental/guardian consents have been obtained by Competition Sponsor); \n3. not a resident of Crimea, so-called Donetsk People's Republic (DNR) or Luhansk People's Republic (LNR), Cuba, Iran, Syria, or North Korea; and\n4. not a person or representative of an entity under U.S. export controls or sanctions (see: [https://www.treasury.gov/resourcecenter/sanctions/Programs/Pages/Programs.aspx][1]).\n\nb. Competitions are open to residents of the United States and worldwide, except that if you are a resident of Crimea, so-called Donetsk People's Republic (DNR) or Luhansk People's Republic (LNR), Cuba, Iran, Syria, North Korea, or are subject to U.S. export controls or sanctions, you may not enter the Competition. Other local rules and regulations may apply to you, so please check your local laws to ensure that you are eligible to participate in skills-based competitions. The Competition Host reserves the right to forego or award alternative Prizes where needed to comply with local laws. If a winner is located in a country where prizes cannot be awarded, then they are not eligible to receive a prize.\n\nc. If you are entering as a representative of a company, educational institution or other legal entity, or on behalf of your employer, these rules are binding on you, individually, and the entity you represent or where you are an employee. If you are acting within the scope of your employment, or as an agent of another party, you warrant that such party or your employer has full knowledge of your actions and has consented thereto, including your potential receipt of a Prize. You further warrant that your actions do not violate your employer's or entity's policies and procedures. \n\nd. The Competition Sponsor reserves the right to verify eligibility and to adjudicate on any dispute at any time. If you provide any false information relating to the Competition concerning your identity, residency, mailing address, telephone number, email address, ownership of right, or information required for entering the Competition, you may be immediately disqualified from the Competition.\n\n####2. SPONSOR AND HOSTING PLATFORM\n\na. The Competition is sponsored by Competition Sponsor named above. The Competition is hosted on behalf of Competition Sponsor by Kaggle Inc. (\"Kaggle\"). Kaggle is an independent contractor of Competition Sponsor, and is not a party to this or any agreement between you and Competition Sponsor. You understand that Kaggle has no responsibility with respect to selecting the potential Competition winner(s) or awarding any Prizes. Kaggle will perform certain administrative functions relating to hosting the Competition, and you agree to abide by the provisions relating to Kaggle under these Rules. As a Kaggle.com account holder and user of the Kaggle competition platform, remember you have accepted and are subject to the Kaggle Terms of Service at [www.kaggle.com/terms][2] in addition to these Rules.\n\n####3. COMPETITION PERIOD\na. For the purposes of Prizes, the Competition will run from the Start Date and time to the Final Submission Deadline (such duration the “Competition Period”). The Competition Timeline is subject to change, and Competition Sponsor may introduce additional hurdle deadlines during the Competition Period. Any updated or additional deadlines will be publicized on the Competition Website. It is your responsibility to check the Competition Website regularly to stay informed of any deadline changes. YOU ARE RESPONSIBLE FOR DETERMINING THE CORRESPONDING TIME ZONE IN YOUR LOCATION.\n\n####4. COMPETITION ENTRY\na. NO PURCHASE NECESSARY TO ENTER OR WIN. To enter the Competition, you must register on the Competition Website prior to the Entry Deadline, and follow the instructions for developing and entering your Submission through the Competition Website. Your Submissions must be made in the manner and format, and in compliance with all other requirements, stated on the Competition Website (the \"Requirements\"). Submissions must be received before any Submission deadlines stated on the Competition Website. Submissions not received by the stated deadlines will not be eligible to receive a Prize.\nb. Submissions may not use or incorporate information from hand labeling or human prediction of the validation dataset or test data records.\nc. If the Competition is a multi-stage competition with temporally separate training and/or test data, one or more valid Submissions may be required during each Competition stage in the manner described on the Competition Website in order for the Submissions to be Prize eligible.\nd. Submissions are void if they are in whole or part illegible, incomplete, damaged, altered, counterfeit, obtained through fraud, or late. Competition Sponsor reserves the right to disqualify any entrant who does not follow these Rules, including making a Submission that does not meet the Requirements. \n\n####5. INDIVIDUALS AND TEAMS\na. Individual Account. You may make Submissions only under one, unique Kaggle.com account. You will be disqualified if you make Submissions through more than one Kaggle account, or attempt to falsify an account to act as your proxy. You may submit up to the maximum number of Submissions per day as specified on the Competition Website. \nb. Teams. If permitted under the Competition Website guidelines, multiple individuals may collaborate as a Team; however, you may join or form only one Team. Each Team member must be a single individual with a separate Kaggle account. You must register individually for the Competition before joining a Team. You must confirm your Team membership to make it official by responding to the Team notification message sent to your Kaggle account. Team membership may not exceed the Maximum Team Size stated on the Competition Website.\nc. Team Merger. Teams may request to merge via the Competition Website. Team mergers may be allowed provided that: (i) the combined Team does not exceed the Maximum Team Size; (ii) the number of Submissions made by the merging Teams does not exceed the number of Submissions permissible for one Team at the date of the merger request; (iii) the merger is completed before the earlier of: any merger deadline or the Competition deadline; and (iv) the proposed combined Team otherwise meets all the requirements of these Rules. \nd. Private Sharing. No private sharing outside of Teams. Privately sharing code or data outside of Teams is not permitted. It's okay to share code if made available to all Participants on the forums.\n\n####6. SUBMISSION CODE REQUIREMENTS\na. Private Code Sharing. Unless otherwise specifically permitted under the Competition Website or Competition Specific Rules above, during the Competition Period, you are not allowed to privately share source or executable code developed in connection with or based upon the Competition Data or other source or executable code relevant to the Competition (“Competition Code”). This prohibition includes sharing Competition Code between separate Teams, unless a Team merger occurs. Any such sharing of Competition Code is a breach of these Competition Rules and may result in disqualification.\nb. Public Code Sharing. You are permitted to publicly share Competition Code, provided that such public sharing does not violate the intellectual property rights of any third party. If you do choose to share Competition Code or other such code, you are required to share it on Kaggle.com on the discussion forum or notebooks associated specifically with the Competition for the benefit of all competitors. By so sharing, you are deemed to have licensed the shared code under an Open Source Initiative-approved license (see [www.opensource.org][3]) that in no event limits commercial use of such Competition Code or model containing or depending on such Competition Code.\nc. Use of Open Source. Unless otherwise stated in the Specific Competition Rules above, if open source code is used in the model to generate the Submission, then you must only use open source code licensed under an Open Source Initiative-approved license (see [www.opensource.org][4]) that in no event limits commercial use of such code or model containing or depending on such code.\n\n####7. DETERMINING WINNERS\na. Each Submission will be scored and ranked by the evaluation metric stated on the Competition Website. During the Competition Period, the current ranking will be visible on the Competition Website's Public Leaderboard. The potential winner(s) are determined solely by the leaderboard ranking on the Private Leaderboard, subject to compliance with these Rules. The Public Leaderboard will be based on the public test set and the Private Leaderboard will be based on the private test set.\nb. In the event of a tie, the Submission that was entered first to the Competition will be the winner. In the event a potential winner is disqualified for any reason, the Submission that received the next highest score rank will be chosen as the potential winner.\n\n####8. NOTIFICATION OF WINNERS & DISQUALIFICATION\na. The potential winner(s) will be notified by email. \nb. If a potential winner (i) does not respond to the notification attempt within one (1) week from the first notification attempt or (ii) notifies Kaggle within one week after the Final Submission Deadline that the potential winner does not want to be nominated as a winner or does not want to receive a Prize, then, in each case (i) and (ii) such potential winner will not receive any Prize, and an alternate potential winner will be selected from among all eligible entries received based on the Competition’s judging criteria.\nc. In case (i) and (ii) above Kaggle may disqualify the Participant. However, in case (ii) above, if requested by Kaggle, such potential winner may provide code and documentation to verify the Participant’s compliance with these Rules. If the potential winner provides code and documentation to the satisfaction of Kaggle, the Participant will not be disqualified pursuant to this paragraph.\nd. Competition Sponsor reserves the right to disqualify any Participant from the Competition if the Competition Sponsor reasonably believes that the Participant has attempted to undermine the legitimate operation of the Competition by cheating, deception, or other unfair playing practices or abuses, threatens or harasses any other Participants, Competition Sponsor or Kaggle.\ne. A disqualified Participant may be removed from the Competition leaderboard, at Kaggle's sole discretion. If a Participant is removed from the Competition Leaderboard, additional winning features associated with the Kaggle competition platform, for example Kaggle points or medals, may also not be awarded.\nf. The final leaderboard list will be publicly displayed at Kaggle.com. Determinations of Competition Sponsor are final and binding.\n\n####9. PRIZES\na. Prize(s) are as described on the Competition Website and are only available for winning during the time period described on the Competition Website. The odds of winning any Prize depends on the number of eligible Submissions received during the Competition Period and the skill of the Participants. \nb. All Prizes are subject to Competition Sponsor's review and verification of the Participant’s eligibility and compliance with these Rules, and the compliance of the winning Submissions with the Submissions Requirements. In the event that the Submission demonstrates non-compliance with these Competition Rules, Competition Sponsor may at its discretion take either of the following actions: (i) disqualify the Submission(s); or (ii) require the potential winner to remediate within one week after notice all issues identified in the Submission(s) (including, without limitation, the resolution of license conflicts, the fulfillment of all obligations required by software licenses, and the removal of any software that violates the software restrictions).\nc. A potential winner may decline to be nominated as a Competition winner in accordance with Section 3.8.\nd. Potential winners must return all required Prize acceptance documents within two (2) weeks following notification of such required documents, or such potential winner will be deemed to have forfeited the prize and another potential winner will be selected. Prize(s) will be awarded within approximately thirty (30) days after receipt by Competition Sponsor or Kaggle of the required Prize acceptance documents. Transfer or assignment of a Prize is not allowed. \ne. You are not eligible to receive any Prize if you do not meet the Eligibility requirements in Section 2.7 and Section 3.1 above.\nf. If a Team wins a monetary Prize, the Prize money will be allocated in even shares between the eligible Team members, unless the Team unanimously opts for a different Prize split and notifies Kaggle before Prizes are issued.\n\n####10. TAXES\na. ALL TAXES IMPOSED ON PRIZES ARE THE SOLE RESPONSIBILITY OF THE WINNERS. Payments to potential winners are subject to the express requirement that they submit all documentation requested by Competition Sponsor or Kaggle for compliance with applicable state, federal, local and foreign (including provincial) tax reporting and withholding requirements. Prizes will be net of any taxes that Competition Sponsor is required by law to withhold. If a potential winner fails to provide any required documentation or comply with applicable laws, the Prize may be forfeited and Competition Sponsor may select an alternative potential winner. Any winners who are U.S. residents will receive an IRS Form-1099 in the amount of their Prize.\n\n####11. GENERAL CONDITIONS\na. All federal, state, provincial and local laws and regulations apply.\n\n####12. PUBLICITY\na. You agree that Competition Sponsor, Kaggle and its affiliates may use your name and likeness for advertising and promotional purposes without additional compensation, unless prohibited by law.\n\n####13. PRIVACY\na. You acknowledge and agree that Competition Sponsor and Kaggle may collect, store, share and otherwise use personally identifiable information provided by you during the Kaggle account registration process and the Competition, including but not limited to, name, mailing address, phone number, and email address (“Personal Information”). Kaggle acts as an independent controller with regard to its collection, storage, sharing, and other use of this Personal Information, and will use this Personal Information in accordance with its Privacy Policy <[www.kaggle.com/privacy][6]>, including for administering the Competition. As a Kaggle.com account holder, you have the right to request access to, review, rectification, portability or deletion of any personal data held by Kaggle about you by logging into your account and/or contacting Kaggle Support at <[www.kaggle.com/contact][7]>.\nb. As part of Competition Sponsor performing this contract between you and the Competition Sponsor, Kaggle will transfer your Personal Information to Competition Sponsor, which acts as an independent controller with regard to this Personal Information. As a controller of such Personal Information, Competition Sponsor agrees to comply with all U.S. and foreign data protection obligations with regard to your Personal Information. Kaggle will transfer your Personal Information to Competition Sponsor in the country specified in the Competition Sponsor Address listed above, which may be a country outside the country of your residence. Such country may not have privacy laws and regulations similar to those of the country of your residence.\n\n####14. WARRANTY, INDEMNITY AND RELEASE \na. You warrant that your Submission is your own original work and, as such, you are the sole and exclusive owner and rights holder of the Submission, and you have the right to make the Submission and grant all required licenses. You agree not to make any Submission that: (i) infringes any third party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations, or defames any person; or (ii) otherwise violates any applicable U.S. or foreign state or federal law.\nb. To the maximum extent permitted by law, you indemnify and agree to keep indemnified Competition Entities at all times from and against any liability, claims, demands, losses, damages, costs and expenses resulting from any of your acts, defaults or omissions and/or a breach of any warranty set forth herein. To the maximum extent permitted by law, you agree to defend, indemnify and hold harmless the Competition Entities from and against any and all claims, actions, suits or proceedings, as well as any and all losses, liabilities, damages, costs and expenses (including reasonable attorneys fees) arising out of or accruing from: (a) your Submission or other material uploaded or otherwise provided by you that infringes any third party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations, or defames any person; (b) any misrepresentation made by you in connection with the Competition; (c) any non-compliance by you with these Rules or any applicable U.S. or foreign state or federal law; (d) claims brought by persons or entities other than the parties to these Rules arising from or related to your involvement with the Competition; and (e) your acceptance, possession, misuse or use of any Prize, or your participation in the Competition and any Competition-related activity.\nc. You hereby release Competition Entities from any liability associated with: (a) any malfunction or other problem with the Competition Website; (b) any error in the collection, processing, or retention of any Submission; or (c) any typographical or other error in the printing, offering or announcement of any Prize or winners.\n\n####15. INTERNET\na. Competition Entities are not responsible for any malfunction of the Competition Website or any late, lost, damaged, misdirected, incomplete, illegible, undeliverable, or destroyed Submissions or entry materials due to system errors, failed, incomplete or garbled computer or other telecommunication transmission malfunctions, hardware or software failures of any kind, lost or unavailable network connections, typographical or system/human errors and failures, technical malfunction(s) of any telephone network or lines, cable connections, satellite transmissions, servers or providers, or computer equipment, traffic congestion on the Internet or at the Competition Website, or any combination thereof, which may limit a Participant’s ability to participate.\n\n####16. RIGHT TO CANCEL, MODIFY OR DISQUALIFY\na. If for any reason the Competition is not capable of running as planned, including infection by computer virus, bugs, tampering, unauthorized intervention, fraud, technical failures, or any other causes which corrupt or affect the administration, security, fairness, integrity, or proper conduct of the Competition, Competition Sponsor reserves the right to cancel, terminate, modify or suspend the Competition. Competition Sponsor further reserves the right to disqualify any Participant who tampers with the submission process or any other part of the Competition or Competition Website. Any attempt by a Participant to deliberately damage any website, including the Competition Website, or undermine the legitimate operation of the Competition is a violation of criminal and civil laws. Should such an attempt be made, Competition Sponsor and Kaggle each reserves the right to seek damages from any such Participant to the fullest extent of the applicable law.\n\n####17. NOT AN OFFER OR CONTRACT OF EMPLOYMENT\na. Under no circumstances will the entry of a Submission, the awarding of a Prize, or anything in these Rules be construed as an offer or contract of employment with Competition Sponsor or any of the Competition Entities. You acknowledge that you have submitted your Submission voluntarily and not in confidence or in trust. You acknowledge that no confidential, fiduciary, agency, employment or other similar relationship is created between you and Competition Sponsor or any of the Competition Entities by your acceptance of these Rules or your entry of your Submission.\n\n####18. DEFINITIONS\na. \"Competition Data\" are the data or datasets available from the Competition Website for the purpose of use in the Competition, including any prototype or executable code provided on the Competition Website. The Competition Data will contain private and public test sets. Which data belongs to which set will not be made available to Participants. \nb. An “Entry” is when a Participant has joined, signed up, or accepted the rules of a competition. Entry is required to make a Submission to a competition.\nc. A “Final Submission” is the Submission selected by the user, or automatically selected by Kaggle in the event not selected by the user, that is/are used for final placement on the competition leaderboard.\nd. A “Participant” or “Participant User” is an individual who participates in a competition by entering the competition and making a Submission.\ne. The “Private Leaderboard” is a ranked display of Participants’ Submission scores against the private test set. The Private Leaderboard determines the final standing in the competition.\nf. The “Public Leaderboard” is a ranked display of Participants’ Submission scores against a representative sample of the test data. This leaderboard is visible throughout the competition.\ng. A “Sponsor” is responsible for hosting the competition, which includes but is not limited to providing the data for the competition, determining winners, and enforcing competition rules.\nh. A “Submission” is anything provided by the Participant to the Sponsor to be evaluated for competition purposes and determine leaderboard position. A Submission may be made as a model, notebook, prediction file, or other format as determined by the Sponsor.\ni. A “Team” is one or more Participants participating together in a Kaggle competition, by officially merging together as a Team within the competition platform.\n\n [1]: https://www.treasury.gov/resource-center/sanctions/Programs/Pages/Programs.aspx\n [2]: http://www.kaggle.com/terms\n [3]: http://www.opensource.org\n [4]: http://www.opensource.org\n [5]: https://www.kaggle.com/WinningModelDocumentationGuidelines\n [6]: http://www.kaggle.com/privacy\n [7]: http://www.kaggle.com/contact\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Important Dates", "content": "- **TOP 10 Winner Announcement:** 29th September 2025 \n - Winning teams will receive a personal email with details regarding **CTD tickets** and **prizes**. \n - Top 6 Winners are expected to present there solution in front of Jury in the final event 9th October \n - Based on Presentation Jury will choose Top 2 winners from 6 teams presenting\n\n\n- **CTD Event:** 9th October 2025 \n - The **Top 2 Winning Teams** will receive prize money \n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Important Must Read", "content": "## How to Submit \n\n### Submission Guidelines \nPrepare a **ZIP folder** containing the following: \n\n- **`submission.csv`** → Your final prediction file in CSV format. \n- **Code files** → All `.py` and `.ipynb` files used to generate the submission. \n- **`README.md`** → Must include: \n - Clear instructions on how to run your code. \n - Link(s) to your deployed solution (on Vercel, Streamlit, or any other cloud platform). \n - A public **GitHub repository link** for your project. \n\n### Additional Notes \n- Ensure your GitHub repository is **public** before submission. \n\n## Important Note on Leaderboard \n\n- The **leaderboard** is **not the final result**. \n- **Final winners** will be determined based on: \n - Code quality \n - Solution approach \n - Reproducibility of results \n - Kaggle-based evaluation (for initial ranking) \n - Presentation to Jury\n\n\n\n- The leaderboard will serve only to **shortlist top contestants** for the final review by the Jury. \n- The **final winning teams** will receive an official email with details about the **future process**.\n\n## Must Do Steps\n - Make sure you share you email before joining, for us to contact you for prizes\n![Email shared](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F28347760%2F47de3345cbf9638b60fd9082bec59132%2Femail.jpg?generation=1756140127468310&alt=media)\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Evaluation", "content": "Your submission will be evaluated using a **custom composite metric** that balances **classification accuracy** and **regression error**:\n\n### Stage 1: \nPrediction of Material & Equipment along with qty(**50 Pointers**)\n\n1. **Classification (MasterItemNo)** \n - Metric: **Accuracy** + **F1** (exact match between predicted and true values). \n - Score range: `0 → 1` (higher is better).\n\n2. **Regression (QtyShipped)** \n - Metric: **Mean Absolute Error (MAE)**. \n - To combine with accuracy, MAE is **normalized** by the range of true values: \n `norm_mae = MAE/ (max(QtyShipped) - min(QtyShipped)`\n - Clipped into `[0,1]` and inverted to a score: \n `reg_score = 1 - norm_mae`\n \n\n3. **Final Score** \n - Weighted equally: \n`final_score = 0.25×accuracy+0.25×F1+0.5×reg_scor`\n\n - Range: `0 → 1` (higher is better).\n\nIf all true `QtyShipped` values are identical, the regression component is automatically treated as perfect (`reg_score = 1`).\n\n### **Stage 2: Host app (5 Pointers)**\n- Host the application on a platform like Vercel or any other relevant technology. \n- Integrate a chatbot to provide answers to user queries based on the outputs from **Stage 1**. \n- Ensure smooth interaction between the hosted app and chatbot. \n- Provide a clean, user-friendly interface. \n- Verify deployment is publicly accessible. \n\n\n### **Stage 3: Identify Vendor from Web Scraping (15 Pointers)**\n- Perform web scraping to identify relevant vendors. \n- Extract and present vendor details such as: \n - Company name \n - Services/products offered \n - Location \n - Contact information \n- Ensure compliance with ethical and legal scraping practices. \n- Provide structured output (JSON or UI integration). \n\n\n### **Stage 4: Integrate with Construction Project Schedule (10 Pointers)**\n- Create a **synthetic construction project schedule** based on the given problem statement. \n- Integrate outputs from **Stage 2 & Stage 3** into the project schedule. \n- Represent it in a **Gantt chart / MS Project / tabular timeline** format. \n- Highlight dependencies, lead times, and milestones. \n- Show how vendor engagement and procurement timelines align with the project. \n\n\n### **Stage 5: Create Synthetic Procurement Plan (10 Pointers)**\n- Develop a **procurement plan** tailored to the synthetic construction project. \n- Include: \n - Materials & resources required \n - Vendor mapping from Stage 3 \n - Lead times & procurement cycles \n - Risk mitigation strategies \n- Present the plan in a clear, structured format. \n\n\n### **Stage 6: Procurement Management Platform (10 Pointers)**\n- Design a **Procurement Management Platform** prototype. \n- Include: \n - Vendor database integration \n - Procurement request and approval workflow \n - Timeline tracking (integration with Stage 4) \n - Dashboard for monitoring procurement activities \n- Demonstrate how it streamlines procurement and vendor management for the synthetic construction project. \n\n\n## Example Evaluation \n\n**Problem Statement:** \nCreate a predictive model for a **Data Center Project** with the following parameters: \n\n- **Power Capacity:** 25 MegaWatts \n- **Built-up Area:** 2 Lakhs Square Feet \n- **Location:** Maharashtra, India ", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Submission", "content": "To submit, upload a **zipped folder** containing **CSV file** with the following structure along with **code Files** as mentioned in **Must Read** section above on kaggle:\n\n- **Required columns (and only these):** \n 1. `id` – unique identifier for each row (must match sample). \n 2. `MasterItemNo` – your predicted item number (**numeric only**). \n 3. `QtyShipped` – your predicted shipment quantity (**numeric only**). \n\n**Important rules:**\n- Do not remove, rename, reorder, or add columns. \n- All values in `MasterItemNo` and `QtyShipped` must be numeric (no blanks, no strings). \n\nIf your file does not follow these rules, your submission will fail with a clear error message.\n\n---\n\n## Pre-Submission Checklist \n\nBefore uploading, please ensure the following: \n\n- **CSV File Requirements** \n - Must contain **exactly 3 columns**: `id`, `MasterItemNo`, `QtyShipped`. \n - No empty cells. \n - Numeric columns should contain **only numbers** (no text or symbols). \n - `id` values must match the sample submission **one-to-one**. \n\n- **Submission Package** \n - Include all required files: \n - Code files (`.py` or `.ipynb`) \n - `README.md` file \n - Final `.csv` file \n\n\n## Example Submission CSV Format\n\n```csv\nid,MasterItemNo,QtyShipped\n1,101,5\n2,102,3\n3,101,7\n4,104,2\n```", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "About Us", "content": "The **CTAI Foundation** is a non-profit organization led by experts from both industry and academia who are passionate about leveraging technology to: \n- Improve efficiency and collaboration \n- Enable predictable project outcomes \n- Make construction an enriching and enjoyable experience for all \n\nThe foundation is dedicated to transforming the way we build by adopting and advancing technology-driven practices. \n\n**CTD-2025** focuses on emerging trends in Construction Technology, covering areas such as project management, field management, quality control, procurement, prefabrication, and robotics. \nIt provides deeper insights into how construction technology is applied across both residential and infrastructure projects. \n\nTo know more, visit: \n- [AI/ML Hackathon 2025](https://ctai.in/events/ctd-2025/ai-ml-hackathon-2025/) \n- [CTAI Foundation](https://ctai.in/) \n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Support", "content": "For Support and queries reach us out at: `contactus@ctai.in`", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false } ] }