📈 Stock Market Prediction Web App

A Flask-based web application that predicts future stock prices using a trained LSTM model. It enables users to explore and visualize stock market trends with real-time data fetched from Yahoo Finance.

🚀 Features

• User Authentication (Login/Register with session management)
• Admin Dashboard for monitoring feedback
• Fetch historical stock data from Yahoo Finance
• Predict next 10 days of stock prices using a deep learning model
• Graphs:
  • Actual vs Predicted Prices
  • Next Day Prediction
  • 10-Day Price Forecast
  • Closing Price History
  • Moving Averages (100 & 200 days)
• Mutual fund and stock type identification
• Feedback submission and storage in SQLite

🧠 Technologies Used

• Flask (Python backend framework)
• LSTM Model (TensorFlow/Keras)
• SQLite (Feedback database)
• Yahoo Finance API (via yfinance)
• Matplotlib (Data visualization)
• Pandas, NumPy, Scikit-learn

🔐 User Roles

• Admin: Access feedback and user list
• User: Access prediction tools and tutorials

📂 Project Structure

/templates
index.html
login.html
results.html
tutorial.html
admin_dashboard.html
/static
/css
/js
model/
stock_future_prediction_saved.keras
app.py
feedback.db

🛠 How to Run

1. Clone the repository
2. Install required packages:
   pip install -r requirements.txt
3. Run the Flask app:
   python app.py
4. Open browser and go to:
   http://localhost:5000/

🧪 Demo Users

• Admin
  Username: admin
  Password: password123

• User
  Username: user1
  Password: userpass

📬 Feedback

Feedback from users is stored in a local SQLite database and viewable in the admin dashboard.

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