## 📘 **Competition Rules – Digital Dash (Solo)**

Welcome to **Digital Dash** – a high-speed solo data science challenge where precision, creativity, and discipline collide. Before you dive into the data, make sure you understand the rules. Fair play and reproducibility are key to winning this race.

---

### 👤 Solo Participation Only
This is a **solo competition**, meaning **no teams are allowed**. Each participant must register and compete **individually**. Collaboration, code sharing, or discussing private solutions with others is **strictly prohibited**.

---

### 📁 Data Usage Guidelines
- You must use **only the dataset provided** for this competition.
- Use of external data sources, pre-trained models, or data gathered from the internet is **not permitted**, unless explicitly allowed in the competition instructions.
- This ensures a **level playing field** and fair evaluation of your skills.

---

### 📤 Submission Rules
- You can submit up to **5 entries per day**.
- Your **highest scoring submission** on the **public leaderboard** will be considered during the competition.
- The **final ranking** will be based on your model’s performance on a **private test set** that remains hidden until the competition ends.

---

### 🧠 Code Submission & Reproducibility
- Finalists must submit:
  - Their **complete code** used to train and generate predictions.
  - A **requirements file** or details about the environment.
  - A brief **readme** describing your approach.
- If your solution **cannot be reproduced**, you may be disqualified from the final rankings.

---

### 🚫 Disqualification Criteria
We take fairness seriously. You will be disqualified if you:
- Plagiarize or use someone else's work.
- Share your code or receive help from others.
- Attempt to reverse-engineer the private test set.
- Try to manipulate the leaderboard in any way.

---

### 🏆 Prizes & Recognition
Top-ranked participants will receive [insert prizes here – e.g., certificates, internships, cash prizes, shoutouts, etc.]. Exceptional solutions may also be featured on [host platform, GitHub, or blog posts], highlighting your skills to the community.