Headline
Helping organizations build practical software products and services through technology and problem-solving
About
Computer Science and Engineering student passionate about building practical software solutions that address real-world problems. Skilled in C++, Python, SQL, and full-stack development, with hands-on experience in AI/ML and application development. Interested in contributing to organizations by developing reliable products and services while continuously learning and improving.
Education
Projects
BlockAttend - Attendance Management System
Architected a blockchain-based attendance platform with 7 core features covering teacher registration, administrative approval, student management, attendance marking, and record tracking. Connected React.js, Express.js, and Solidity through a local Ethereum blockchain using Hardhat, with Ethers.js handling smart-contract interaction and event logging. Combined on-chain attendance records with local JSON storage to maintain application data without an external database.
View details
RoadSense
RoadSense is an AI-based traffic risk detection system that uses Machine Learning to predict road and traffic risk levels based on traffic, environmental, road, and driver-related conditions. The system analyzes multiple parameters such as traffic density, horn events, average speed, signal waiting time, weather condition, road quality, driver experience, and driver stress to classify the current traffic risk as Low, Medium, or High.This combines Machine Learning, a FastAPI backend, user authentication, location detection, prediction history, and interactive geospatial visualization to support proactive traffic risk monitoring.
View details
Skilltree
A full-stack placement preparation platform that helps students track their skills, analyze resumes, discover career roadmaps, practice interviews, and evaluate company readiness—all in one place.
View details