The evening is warm and the path is soft. I’m Vijaya — I build software the way gardens grow: patiently, and in bloom. Five projects are flowering along this walk, and the fireflies come out near the end. Take your time.
I’m Vijaya Bhaskara Lakshmi Yeditha — a Computer Science undergraduate at BVRIT Hyderabad College of Engineering for Women(GPA 9.43) who treats building software as a daily practice, not an occasional event. Full-stack apps, AI systems, little languages, realtime tools — I plant something new almost every season, and I don’t stop tending it until it blooms.
Along the way that habit has grown into two patent filings, a top-10 national hackathon finish, a shelf of first prizes, and internships in climate AI and machine learning. But the honest summary is simpler: I love to learn, I love to make, and I ship what I make.
A full-stack task and resource manager that treats your attention as the scarce resource — smart priority and deadline handling, a color-coded calendar, and a built-in wellness and reflection suite so the tool that organizes your day doesn't also burn you out.
View the code →A full-stack student productivity platform — auth, courses, notes and an AI Focus Advisor that plans study sessions for you. Built at a hackathon, still alive on the web because people actually use it.
Visit it live → Code →A real-time collaborative whiteboard. Everyone draws on the same canvas at once, strokes syncing live over WebSockets — no accounts, no friction, just a shared surface.
View the code →The classic mystical orb, rebuilt for the browser. Ask a yes/no question, shake it, and a Streamlit app with a glowing dark theme, floating sparkles, and a little suspense gives you an answer — balloons included when it lands.
View the code →A little desktop companion built in Java Swing — feed it, pet it, let it nap, or play its built-in Flappy Bird mini-game. Five mood states, bouncy animations, floating hearts when it's happy. No external libraries, just Swing and AWT doing all the work.
View the code →Places I’ve tended things that weren’t mine alone.
AI and data analytics on real climate datasets — building data-driven intelligence for energy, water and waste optimization.
The campus point of contact for one of India’s largest open-source programs — mentorship, coordination, and keeping engagement high.
AI data-corpus development and collaborative machine learning projects aimed at real-world problems.