The problem Trend Pulse solves

Trend Pulse is an ML-powered stock price prediction app built with Python and Streamlit. It utilizes machine learning models to forecast stock prices and help investors make data-driven decisions.

Challenges I ran into

1. Cleaning the Dataset and reducing the Noise.
2. Cutting Down Training Time to 40 Seconds.
3. Enhancing Model Accuracy More Data, the Greater the Precision.
4. Better Optimization of the Model.
5. Legal and Ethical Considerations.