## Official Competition Rules **ENTRY IN THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL COMPETITION RULES.** See Section 3.18 for defined terms. This Competition is a **skills-based challenge** designed to promote and further the field of data science. - Only Candidates **[registered via the Competition Website](https://ctai.in/events/ctd-2025/ai-ml-hackathon-2025/)** are eligible for Prizes. - **Sharing your email before joining is must**. - By entering, you agree to these **Official Competition Rules**, which include the Competition Website provisions and any Competition-Specific Rules herein (collectively, the "Rules"). - Submitting an entry constitutes acceptance of these Rules. - You may not participate or be eligible for prizes unless you agree to these Rules. All 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. For hackathon-designated competitions, Submissions will also be evaluated by the Competition Sponsor using the published **Evaluation Rubric**. You may not register or submit from multiple Kaggle accounts. --- ### 1. Competition-Specific Terms **1. Competition Name:** Predictive Models for Material Requirement Prediction in Supply Chain **2. Organizer:** CTAI Foundation **3. Sponsor :** [vConstruct Private Limited](https://vconstruct.com/) **4. Competition Website:** [CTAI Hackathon 2025](https://ctai.in/events/ctd-2025/ai-ml-hackathon-2025/) **5. Total Prizes Available:** INR 150,000 - First Prize: **INR 100,000** + **Free Ticket to CTAI Event (IIT Bombay)** - Second Prize: **INR 50,000** + **Free Ticket to CTAI Event (IIT Bombay)** - Third to Tenth Prize: **Free Ticket to CTAI Event (IIT Bombay)** Top 2 winners will have their stay and accommodation covered, reimbursed on submission of valid bills. Travel + Accommodation reimbursement is capped at ₹10,000 or reimbursed on actuals, whichever is lower. ### 2. Competition-Specific Rules #### 2.1 Team Limits - Maximum team size: **4 participants**. - 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). #### 2.2 Submission Limits - Maximum **5 submissions per day**. - You may select up to **1 final submission** for judging. #### 2.3 Competition Timeline - 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. #### 2.4 Competition Data **a. Data Access and Use** - Data may be used **only for this competition** and on Kaggle.com forums. - Use of the data for other purposes may result in disqualification. **b. Data Security** - You must take reasonable steps to prevent unauthorized access to the Competition Data. - Do not share, redistribute, or republish the data. - Any suspected unauthorized access must be reported to Kaggle immediately. #### 2.5 Winner License If you are declared a winner, you grant the Competition Sponsor: - (Refer to section [4]) - 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. #### 2.6 External Data and Tools - You may use external datasets if they are **publicly available, free of cost, and equally accessible to all participants**. - Tools such as AutoML platforms (e.g., H2O Driverless AI, Google AutoML) are allowed, provided you hold valid licenses. - Proprietary datasets or paid tools that create **unfair advantages** are **not permitted** and host is not responsible for payment of those tools. #### 2.7 Eligibility - Employees, interns, or contractors of the Competition Sponsor or Kaggle may participate but **are not eligible for prizes**. - Participants are subject to internal policies of their employers regarding participation. #### 2.8 Winner’s Obligations To claim a prize, winners must: 1. Deliver the final model’s source code, training and inference scripts, and documentation required to reproduce the winning submission. 2. Grant the license described in Section 2.5. 3. Complete and sign all required Prize documentation (eligibility certifications, tax forms, licenses, releases, etc.). ####2.9 Valid Solution To qualify as a valid submission for the competition: 1. All **code files** must be included. 2. The **CSV file** generated from the solution must be provided. 3. Both code files and the CSV file should be packaged together in a **single zipped folder** for submission. These Rules, along with the General Kaggle Competition Rules, govern your participation in the Competition. Please read carefully before submitting. ### 3. Winner Selection & Announcement 1. The **public/private leaderboard** will serve as a preliminary indicator only and may not represent the final standings. 2. **Final winners** will be determined based on multiple factors: - Code quality - Solution approach and innovation - Reproducibility of results - Kaggle-based evaluation metrics 3. The **leaderboard rankings** will be used to shortlist the top contestants for the final review. 4. In case of a **tie** after the final evaluation, the prize pool for the tied positions will be shared equally among the winners. ###4. License Policy 1. The Hackathon Sponsor (“Sponsor”) may provide certain datasets, proprietary information, or materials (“Confidential Information”) to participants (“Innovators”) solely for the purposes of the Hackathon. 2. 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. 3. 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. 4. 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. 5. 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). 6. 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.