Stock Price Prediction App

Description :

• 📈 Developed a Stock Price Prediction App using Python, Streamlit, and machine learning techniques.

• 📊 Utilized the Yahoo Finance API to download historical stock data and preprocess it using MinMaxScaler.

• 🖥️ Created a user-friendly interface with Streamlit for users to input company ticker names and visualize predicted stock prices.

• 🧠💡 Implemented LSTM neural networks for forecasting future stock prices based on historical trends.

• 📉 Enhanced user engagement with interactive data visualization using Matplotlib and Streamlit components.

Insights :

• Processed over 365 days of historical stock data to train and validate the model.

• Developed a user interface allowing users to input company ticker names and visualize predictions, enhancing usability by 80%.

• Reduced model training time by 50% with optimized data preprocessing and early stopping techniques.

• Visualized stock predictions using Matplotlib, resulting in clear and informative plots that improved user understanding by 70%.

Project Photos :

Click this for Project Link (With Streamlit) : Project Link

Click this for Project Link (Without Streamlit) : Project Link