Self-driven CS learner building real-world skills. Long-term goal: impactful solutions in AI & Software Development.
I’m a first-year engineering student and a self-driven Computer Science learner who enjoys turning ideas into practical projects. I’m currently building my foundation in programming, web development, AI, databases, and IoT while exploring how technology can solve real-world problems.
I learn primarily by building — experimenting with new technologies, developing projects, and improving them through iteration. From IoT-based systems to AI-powered applications and interactive web platforms, I’m focused on gaining practical experience alongside my engineering education.
My long-term goal is to grow into a strong software and AI developer who can build useful, reliable, and impactful technology.
$ git log --oneline
a4f2c01 feat: V2I traffic system — IoT
3b8e720 feat: anti-collision system — ACS
9c1d445 feat: portfolio website v2.0
$ cat goals.txt
→ B.Tech CSE · AI/ML · Web Dev
$
An AI-powered civic issue reporting and prioritization platform. Citizens can report issues such as potholes, emergencies, and garbage pileups. The system uses AI to analyze reports, assess severity, and score priorities for urban problem tracking.
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An interactive real-time voting and polling platform designed for presentations, classrooms, and workshops. Features include live session hosting, participant joining via room code or QR, prepared question banks, and live results tracking.
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Arduino-based V2I intelligent traffic control using IR sensors for density detection, RF-based ambulance priority override, and adaptive signal timing. Won 1st at Zonal and 2nd at District level science model competition.
View Full Project →Collision Avoidance Warning System for hazardous road sections like mountain turns. Uses IR sensors and a relay module to detect oncoming vehicles around blind spots and trigger real-time visual alerts — preventing accidents before they happen.
A Collision Avoidance Warning System designed for hazardous road sections like mountain turns. It uses IR sensors and relay modules to detect oncoming vehicles around blind spots and triggers real-time visual alerts to prevent accidents.
View Full Project →
Built from scratch using vanilla HTML, CSS and JavaScript. Features a dark navy futuristic design system, contact form via Formspree, animated skill bars, custom cursor, scroll reveals, and a dedicated project detail page.
You're looking at it →
Open for internships, collaborations, and interesting projects.