🎓 Student Fitness AI

Student Fitness AI is a hyper-personalized fitness and nutrition planner designed specifically for university students.

Unlike generic fitness apps, Student Fitness understands the unique constraints of student life: tight budgets, limited dorm room space, and specific cultural food preferences. It uses the power of Llama 3 (via Groq) to generate full 7-day schedules instantly.

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🚀 Key Features

• ⚡ AI-Powered Personalization: Generates unique Monday-Sunday plans using Groq (Llama 3) for lightning-fast responses.
• 🏋️ Dorm-Friendly Workouts: Tailors exercises to your available gear—whether you have a full university gym or just a dorm room floor.
• 🥗 Culture-Aware Nutrition: Creates meal plans that respect your culinary background (e.g., Indian, Mexican, Asian) while keeping costs low.
• 🛒 Smart Grocery List: Auto-calculates exact quantities (e.g., "1kg Rice", "1 Dozen Eggs") for a weekly student budget.
• 🎨 Glassmorphism UI: A modern, dark-mode aesthetic with neon accents, interactive cards, and Lottie animations.

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🛠️ Installation & Setup

Follow these steps to run the project locally.

1. Clone the Repository

git clone [https://github.com/eleshkapri/Student_Fitness-AI.git](https://github.com/eleshkapri/Student_Fitness-AI.git)
cd Student_Fitness-AI

2. Create a Virtual Environment (Recommended)

python -m venv venv
# Windows:
.\venv\Scripts\activate
# Mac/Linux:
source venv/bin/activate

3. Install Dependencies

pip install -r requirements.txt

4. Setup API Key (Groq)

This project uses the Groq API (free tier available).

1. Get your key at console.groq.com.
2. Create a folder named .streamlit in the root directory.
3. Inside it, create a file named secrets.toml.
4. Paste your key:

GROQ_API_KEY = "gsk_your_actual_api_key_here"

5. Run the App

streamlit run app.py

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📸 Screenshots

Dashboard

📂 Project Structure

Student_Fitness-AI/
├── .streamlit/
│   └── secrets.toml      # API Keys (Not uploaded to GitHub)
├── app.py                # Main application code
├── requirements.txt      # Python dependencies
├── .gitignore            # Files to exclude from Git
└── README.md             # Project documentation

🤝 Credits

• Framework: Streamlit
• AI Model: Llama 3 via Groq Cloud
• Animations: LottieFiles

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⭐ Don't forget to star this repo if you found it useful!git add .