Table of Contents
Our project provides a user-friendly interface that estimates stock prices for the next day. This helps users plan their investments by predicting the market trends and making informed decisions. It also allows users to track their profits and losses from buying and selling stocks.
- Stock Market Prediction: Predicts stock prices for the next day based on historical data and sentiment analysis.
- Sectors: View and analyze different market sectors.
- Watchlist: Track your favorite stocks and receive notifications for price changes.
- Profit and Loss Analysis: Automatically calculate profits and losses based on buy/sell transactions.
- User-friendly Interface: Simplified navigation and intuitive controls for easy use.
- GitHub Repository
- Demo Video
- Drive Link to Screenshots of your project
- Hosted Website Link
- Hosted Backend Link
Mention all languages/libraries/frameworks used in your project domain-wise
You can use icons too - find them here
- HTML
- CSS
- JavaScript
- React
- lucide-react
- react-router-dom
- NodeJS
- ExpressJS
- axios
- validator
- bcrypt
- jsonwebtoken
- mongoose
- MongoDB
The machine learning component of the project is complete and functioning as expected. The backend is fully developed with all API endpoints successfully set up and operational.
The frontend is currently hardcoded and still requires integration with the backend.
For the Web-App 1.Clone the GitHub repo.
git clone <url>2.Enter the client directory. Install all the required dependencies.
cd frontend
npm install
npm run start3.To start the backend server:4
cd backend
npm install
node server.jsAdd names of your mentors with their emails and links to their GitHub accounts