π Information Technology student at St. Francis Institute of Technology
π Currently building Retailytix, a retail analytics dashboard featuring simulation and video-based insights
π€ Looking to collaborate on web development, analytics, and data-driven projects
π§ Interested in machine learning, backend development, and real-time data processing
π± Currently learning React, backend optimization, and ML integration
β‘ I enjoy transforming simple ideas into complete, real-world products
- π 4th Prize Winner at Colloquium 2026 conducted by St. Francis Institute of Technology
- π CGPA: 7.5 (Till Semester 5)
A retail analytics platform designed to provide meaningful business insights through interactive dashboards and simulations.
- π Sales and performance analytics
- π₯ Video-based customer behavior analysis
- π Interactive dashboards
- π Authentication system for Admin and Staff
- β‘ Real-time metrics visualization
A web-based AI chatbot platform built to help small businesses automate customer support, capture leads, and improve customer engagement.
Tech Stack: HTML, CSS, JavaScript, EmailJS, GitHub Pages
Features
- AI-powered chatbot demo for customer interaction
- Lead capture and automated email notification workflows
- Responsive and user-friendly interface
- Deployed live using GitHub Pages/Netlify
π Live Demo: https://bot-bazzar.netlify.app/
IoT-based smart irrigation system using ESP8266 NodeMCU.
Tech Stack: ESP8266, Embedded C, Sensors
Features
- Automatic soil moisture monitoring
- Water level detection system
- Real-time irrigation control
- Low-cost implementation
"Turning ideas into impactful products through code, data, and innovation."