
UML Designer AI
Converted GitHub repos into interactive UML class diagrams across 7+ languages using AST parsing + AI enrichment; reduced manual diagramming effort by ~80% with one-click export.
Converted GitHub repos into interactive UML class diagrams across 7+ languages using AST parsing + AI enrichment; reduced manual diagramming effort by ~80% with one-click export.
Built an end-to-end pipeline on Windows: traffic generation (VoIP/FTP/HTTP), PyShark/TShark capture to CSV, sklearn model (~0.999 acc), and real-time shaping via Windows Firewall with safe rollback.
An intelligent system to assess cognitive abilities and personality traits using structured psychometric evaluations with data-driven insights.
Efficient route planning using shortest path algorithms to minimize travel costs and time with intelligent pathfinding.
Colab-based object detection pipeline using YOLOv5 pretrained models, enabling real-time image capture from laptop cameras with on-the-fly object recognition.
Full-stack AI-powered search tool using FastAPI and React, expanding queries with NLP (T5/BART) and integrating Google/YouTube APIs with multithreaded backend for enhanced performance.
Real-time fog detection system using FastAPI and Next.js with dual-mode interfaces, implementing OpenCV-based analysis to classify visibility conditions and provide driving recommendations.
Flask-based NLP dashboard analyzing Reddit posts from financial subreddits using VADER sentiment analysis, with interactive dark-mode UI and Matplotlib visualizations.
A deep learning model trained to classify news articles as fake or real based on linguistic and contextual cues using advanced NLP techniques.
Implementation of classic computer science problems: Dining Philosopher problem for OS synchronization using semaphores, and Word Ladder problem using graph traversal algorithms with optimized pathfinding strategies.