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📈 DeepLearn Stock Predictor

DeepLearn Stock Predictor is an AI-powered stock market prediction web application built using Deep Learning techniques. The project analyzes historical stock data and predicts future stock price trends using machine learning models.


🌐 Live Demo

🔗 Live Application: https://gopalakrishnaj-deeplearn-stockpredictor.streamlit.app/

🔗 GitHub Repository: https://github.com/JakkaGopalaKrishna/DeepLearn_Stock_Predictor


✨ Features

  • 📊 Stock market data visualization
  • 🤖 Deep learning-based stock prediction
  • 📈 Historical stock trend analysis
  • 🔮 Future price prediction
  • ⚡ Interactive Streamlit dashboard
  • 📉 Graphical representation of stock data
  • 🧠 Machine learning model integration
  • 🌐 User-friendly web interface

🛠️ Tech Stack Used

Programming Language

  • Python

Libraries & Frameworks

  • Streamlit
  • Pandas
  • NumPy
  • Matplotlib
  • Scikit-learn
  • TensorFlow / Keras
  • yFinance

📂 Project Structure

DeepLearn_Stock_Predictor/
│
├── app.py
├── model/
├── dataset/
├── requirements.txt
├── assets/
└── README.md

⚙️ Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/JakkaGopalaKrishna/DeepLearn_Stock_Predictor.git

2️⃣ Navigate to the Project Folder

cd DeepLearn_Stock_Predictor

3️⃣ Install Dependencies

pip install -r requirements.txt

4️⃣ Run the Streamlit Application

streamlit run app.py

📊 How It Works

  1. Fetch historical stock market data.
  2. Preprocess and normalize the dataset.
  3. Train the deep learning model.
  4. Predict future stock prices.
  5. Display prediction graphs and analysis.

📸 Screenshots

Add your project screenshots here.

screenshots/dashboard.png
screenshots/prediction-graph.png
screenshots/stock-analysis.png

💡 Future Enhancements

  • Add multiple stock comparison
  • Real-time market updates
  • News sentiment analysis
  • Advanced AI forecasting models
  • Portfolio management system
  • Cryptocurrency prediction support
  • Buy/Sell signal recommendations

⚠️ Disclaimer

This project is developed for educational and learning purposes only.

Stock market predictions may not always be accurate. Please do not use this project as financial advice for real investments.


🚀 Deployment

This project is deployed using Streamlit Cloud.


🎯 Project Goal

The goal of this project is to explore how Deep Learning and AI techniques can be used to analyze stock market trends and build predictive systems using historical financial data.


🤝 Connect With Me


👨‍💻 Author

Developed by JAKKA GOPALA KRISHNA


📄 License

This project is licensed under the MIT License.

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