Devansh Shahane

Trend Pulse Overview: A cutting-edge stock price prediction application using machine learning (ML) for future stock price insights.
Development Frameworks: Built with Python and Streamlit, enhancing user experience through a user-friendly interface and robust features.
Deployment: Successfully deployed for user access, offering advanced predictive capabilities.
Core Technology: Utilizes Long Short-Term Memory (LSTM) networks, a type of recurrent neural network (RNN) ideal for capturing long-term dependencies in time series data, crucial for accurate stock price forecasting.
Achievement: Awarded first prize in the "ThinkML" hackathon by Altair, validating its innovative approach and effectiveness in stock price prediction.
Impact: Empowers investors with data-driven insights, enabling confident navigation of the volatile stock market and anticipation of future price movements with high accuracy.

As Trend Pulse is Deployed Check it Over: Here