This project integrates an LSTM-based stock price prediction model into a full-stack web application built with Django (backend) and React (frontend). Using historical stock data fetched dynamically via the yfinance API, the system predicts future stock trends and visualizes real-time insights through interactive charts. The LSTM model is trained on normalized time-series data to forecast closing prices with high accuracy. The portal bridges machine learning and web deployment - users can input any stock ticker, visualize its moving averages, and view AI-driven predictions in a seamless interface.

November 03, 2025

J'Pura Dev is a dynamic platform designed to showcase the innovation and expertise of students at the Faculty of Technology, University of Sri Jayewardenepura. This digital platform empowers students to highlight their projects, skills, and academic achievements, fostering collaboration, networking, and professional growth within the faculty.

February 13, 2025

J'Pura Vibe is the go-to communication hub for students at the Faculty of Technology, University of Sri Jayewardenepura. This dynamic platform connects students through topic-based chat rooms, fostering academic collaboration, social interaction, and a strong sense of community. From coursework assistance to casual discussions, J'Pura Vibe empowers students to connect, share, and thrive.

January 14, 2025

Cargo Connect is a smart logistics platform that simplifies the shipping process by directly connecting cargo owners with distributors. By reducing delays and eliminating intermediaries, it enhances freight management, making transportation more efficient and cost-effective for businesses and individuals.

November 28, 2024