AI Lab Record Generator

An intelligent web application to automate lab record creation for students in Computer Science and Science subjects (Physics, Chemistry, Biology).

🌐 Live Demos

• GitHub Pages: ranjithbrs.github.io/AI-Lab-Record-Generator
• Vercel: ai-lab-record-generator-two.vercel.app

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🚀 Features

• Modern Glassmorphism UI with dark mode aesthetics and smooth micro-animations
• User Access & Auth Flow (Login & Register pages with persistent local session)
• Smart Experiment Generator:
  • CS / Programming Labs → Aim, Algorithm, Code / Program, Output, Result
  • General Science Labs → Aim, Theory, Procedure, Observation, Result
• Instant Save Tools: One-click Copy to Clipboard and Download .txt Record
• Robust Fallback Engine: Works seamlessly online and offline via rule-based AI template fallback

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🛠️ Tech Stack

• Frontend: HTML5, Modern CSS3 (Glassmorphism), JavaScript (ES6+)
• Backend: Python 3.14, Flask, Flask-CORS, Requests
• Deployment: Vercel Serverless Functions

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📂 Project Structure

AI-Lab-Record-Generator/
├── api/
│   └── index.py         # Vercel Serverless Function entry point
├── backend/
│   └── app.py           # Local Flask server
├── public/              # Static Frontend Assets
│   ├── index.html       # Login Page (Root)
│   ├── login.html       # Login Page
│   ├── register.html    # Register Page
│   ├── form.html        # Experiment Details Form
│   ├── result.html      # Dynamic Record Display Page
│   ├── script.js        # Frontend Logic & API Integration
│   └── style.css        # Glassmorphic Stylesheet
├── requirements.txt     # Python Dependencies
├── vercel.json          # Vercel Serverless & Static Rewrite Config
└── README.md            # Documentation

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⚡ How to Run Locally

1. Clone the repository:

   git clone https://github.com/ranjithbrs/AI-Lab-Record-Generator.git
   cd AI-Lab-Record-Generator

2. Set up virtual environment & install dependencies:

   python -m venv .venv
   .venv\Scripts\activate      # On Windows
   # source .venv/bin/activate # On Linux/macOS
   pip install -r requirements.txt

3. Start the Flask Backend:

   python backend/app.py

4. Open Frontend: Open public/login.html or public/index.html in any web browser!

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📄 License

This project is licensed under the MIT License.