Nihal Raj N@nihalraj3454
1
Events attended
1
Submissions made
India
1 year of experience
About me
I am a Computer Science Engineering student passionate about software development, Artificial Intelligence, automation, and emerging technologies. I have hands-on experience with Python and C++, and I am continuously strengthening my skills in programming, problem-solving, and software engineering. My interests include building AI-powered applications, intelligent automation tools, developer productivity solutions, and real-world software products. I enjoy exploring how technology can be used to solve practical problems and improve everyday workflows. I actively participate in hackathons and technology projects, where I focus on ideation, solution development, and transforming concepts into functional prototypes. My current goal is to deepen my expertise in AI, full-stack development, and intelligent systems while building innovative products with real-world impact.
🤓 Latest Submissions
CampusNav AI
CampusNav AI — Smart Campus Navigation System CampusNav AI is a campus navigation assistant that guides students, staff, and visitors to any room, lab, or facility with turn-by-turn directions, built around one goal: navigation that works for everyone, not just the able-bodied majority. Best features: Adaptive routing — computes the fastest path by default, and instantly recalculates when a corridor, stairwell, or lift is reported busy or blocked, so directions stay accurate in real time. Accessibility mode — a one-tap step-free toggle plans routes using only lifts and level paths, avoiding stairs entirely for wheelchair users or anyone with mobility needs. Natural-language assistant — ask in plain words ("Where's CSE Lab 204? I can't use stairs") and it parses the request into a start point, destination, and accessibility need automatically. Emergency mode — a dedicated SOS routes to the nearest exit, first-aid room, or security office, and never uses the lift during an emergency. Timetable integration — reads a student's class schedule and tells them where to go next, with a "leave by" alert based on walking time. Live incident reporting — anyone can flag a blocked or crowded corridor, and the system reroutes everyone else around it immediately. First-day mode — a guided checklist for new students to find reception, the library, washrooms, and their first class without getting lost. Every feature runs on one shared route graph, so the app stays simple to build and demo while covering navigation, accessibility, and safety in a single tool.
27 Sep 2026
