College Projects

Prediction of TEC variations using space weather data with artificial intelligence

Led a 4-person team in deploying a RandomForest Regression model on a Python Flask website, achieving 96.92% prediction accuracy. Enhanced accuracy by 15% through web scraping and data pre-processing techniques. Designed a user-friendly interface using Flask for seamless data visualization and interaction.

Student Complaint Management System

Collaborated in a team of 4 to develop and deploy a web application using PHP, streamlining the complaint management process. Reduced response time by 20% and improved student satisfaction by 18%.