📈 Stock Price Prediction AI

A deep learning model using TensorFlow and Keras to predict stock prices based on historical data.

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🚀 Features

• Uses LSTMs or other deep learning models for prediction
• Processes historical stock market data
• Visualizes trends and predictions
• Can be trained on custom datasets

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📂 Project Structure

📦 stock-prediction-ai  
 ┣ 📂 data                # Stores datasets  
 ┣ 📂 models              # Trained models  
 ┣ 📂 notebooks           # Jupyter notebooks for experiments  
 ┣ 📂 scripts             # Python scripts for training & evaluation  
 ┣ 📜 train.py            # Main training script  
 ┣ 📜 predict.py          # Script for making predictions  
 ┣ 📜 requirements.txt    # List of dependencies  
 ┗ 📜 README.md           # Project documentation  

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🛠 Installation

1️⃣ Clone this repository:

git clone https://github.com/Nxtyyaaaa/stock-prediction-ai.git  
cd stock-prediction-ai  

2️⃣ Install dependencies:

pip install -r requirements.txt  

3️⃣ Run training:

python train.py  

4️⃣ Make predictions:

python predict.py  

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🏗 Model Details

• Algorithm: LSTM / GRU / CNN
• Dataset: Yahoo Finance / Alpha Vantage / Custom CSV
• Loss Function: MSE / RMSE
• Optimizer: Adam / SGD

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📊 Example Output

• Graphical representation of stock trends
• Comparison of predicted vs actual prices

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🤖 Future Enhancements

• Adding more technical indicators
• Using Transformer-based models
• Building a real-time prediction API

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📝 Credits

Developed by Nitya Matta ✨

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⚖️ License

MIT License – Feel free to use and modify!