name : Vinayak Chinchakhandi
role : Full Stack Developer + AI Engineer
education : B.E. @ KLS Gogte Institute of Technology, Belagavi (Final Year)
focus : Building intelligent systems that solve real-world problems
certify : ISOC Certified β Designing & Deploying Computer Networks (DDCN)
publication : Published Bengaluru Metro Network Dataset (Graph + Geospatial)
currently : Building ElevAIte β AI-Powered Placement PlatformDetects your mood and curates perfectly matched music β with full audio/video streaming
| Feature | Description |
|---|---|
| π§ Mood Detection | Real-time emotion analysis to personalize music |
| π¬ Audio & Video | Seamless in-app playback experience |
| β€οΈ Smart Playlists | Favorites, history & AI-personalized recommendations |
| βοΈ Firebase Backend | Realtime sync with persistent user data |
End-to-end AI-powered platform for Bengaluru Metro β from ticketing to demand prediction
| Feature | Description |
|---|---|
| π« QR Ticketing | Smart digital ticket generation & validation |
| π Demand Prediction | ML-based passenger flow forecasting |
| π΅οΈ Fraud Detection | Real-time anomaly detection in ticketing |
| π Live Analytics | Real-time station dashboards & interchange guidance |
Upload multiple research PDFs, get source-aware AI answers with persistent workspaces
| Feature | Description |
|---|---|
| π Multi-PDF RAG | Project-isolated Retrieval-Augmented Generation |
| π Semantic Search | Sentence transformer embeddings for precise retrieval |
| πΎ Persistent Workspaces | Save & resume research sessions anytime |
| π― Source-Aware AI | Pinpoints exact papers & pages for each response |
Open-source Bengaluru Metro dataset containing station metadata, GPS coordinates, and network connectivity information for routing, graph analysis, and smart transportation research.
| Feature | Description |
|---|---|
| π Station Metadata | Comprehensive station details across metro corridors |
| π GPS Coordinates | Latitude & longitude data for geospatial analysis |
| π Network Connectivity | Graph-based station connections for route modeling |
| π£οΈ Pathfinding Ready | Suitable for shortest path and route optimization algorithms |
| π Research Friendly | Designed for transportation analytics and AI applications |
Interactive quiz platform featuring category-based assessments, leaderboard rankings, and performance tracking for engaging learning experiences.
| Feature | Description |
|---|---|
| π Category-Based Quizzes | Explore quizzes across multiple topics and domains |
| π Global Leaderboard | Compete with users through real-time rankings |
| π€ User Profiles | Track scores, progress, and quiz history |
| β‘ Instant Evaluation | Receive immediate feedback and performance insights |
AI-Powered Placement Preparation Platform
π Resume Analysis
π― Placement Readiness Prediction
π€ AI Interview Preparation
π Skill Gap Analysis & Learning Paths
π¨ Status: In Progress
"Learning, building, and improving with every project."

