Create README.md

Author: Aayush-src

README.md

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+This project has been made for a hackathon
+# 📚 Virtual Study Environment 🧠
+
+Welcome to the **Virtual Study Environment**! This innovative platform allows users to upload PDF files, analyzes the content, scans the user's mood, and provides personalized study tips based on that mood. 
+
+This project leverages **React**, **Node.js**, and **Flask** to create an intuitive and responsive study companion.
+
+---
+
+## ✨ Features
+
+- **PDF Analysis**: Upload your PDF and receive a summarized version of the content.
+- **Mood Detection**: The system scans your mood using a webcam or manual input.
+- **Personalized Study Tips**: Based on your mood, receive customized study recommendations.
+- **Interactive UI**: Smooth and responsive user interface built with React.
+
+## 🛠 Tech Stack
+
+- **Frontend**: React.js
+- **Backend**: Node.js (for handling file uploads, user interaction) 
+- **API**: Flask (for PDF analysis and mood detection)
+
+## 🚀 Getting Started
+
+### Prerequisites
+
+Ensure you have the following installed:
+
+- Node.js
+- Python 3.x
+- Flask
+
+### Installation
+
+1. **Clone the repository**
+
+   ```bash
+   git clone https://github.com/yourusername/virtual-study-environment.git
+   cd virtual-study-environment
+Install dependencies for the frontend
+
+bash
+Copy code
+cd client
+npm install
+Install dependencies for the backend
+
+bash
+Copy code
+cd server
+npm install
+Install dependencies for Flask
+
+bash
+Copy code
+cd flask-api
+pip install -r requirements.txt
+Running the Application
+Start the Flask server
+
+bash
+Copy code
+cd flask-api
+flask run
+Start the Node.js server
+
+bash
+Copy code
+cd server
+npm start
+Start the React client
+
+bash
+Copy code
+cd client
+npm start
+Environment Variables
+Create a .env file in the root of each service and add the necessary environment variables:
+
+Flask API: FLASK_ENV, MOOD_DETECTION_API_KEY
+Node.js: PORT, DATABASE_URL
+React: REACT_APP_API_URL
+📈 How it Works
+PDF Upload: Users can upload a PDF document to the system.
+Content Summarization: The Flask API analyzes the content of the PDF and returns a concise summary.
+Mood Detection: Using a webcam (or manually entering their mood), the system analyzes the user’s mood.
+Study Tips: Based on the detected mood, the system provides personalized study recommendations to enhance productivity.
+🤝 Contributing
+Contributions are welcome! Feel free to submit a pull request or open an issue.