Works I've Done

AiDerm Cliniq is a production-grade AI-powered dermatology clinical backend platform built to make expert skin diagnostics universally accessible. With multi-provider LLM routing, adaptive diagnostic pipelines, and enterprise-grade fault tolerance, it delivers 100% analysis availability even through provider outages.

AI PPT Automation was born from a simple truth: every slide shouldn't be a struggle. Driven by the vision of transforming hours of manual work into minutes of intelligent automation, I built a platform where presentations aren't just created - they're orchestrated with precision and brand consistency.

Sociolyte emerged from a challenge: social media shouldn't consume your day. Fueled by the ambition to turn content creation from a chore into an automated art, I crafted a platform where AI doesn't just assist - it orchestrates your entire social presence across platforms.

Anti-Fail WebScraper was born from the frustration of dealing with JavaScript-rendered pages that break traditional scrapers. Driven by the vision of making web data extraction bulletproof, I built a hybrid scraping engine that intelligently adapts between static HTTP requests and headless browser automation - ensuring no page goes unscraped.

Justicia was born for a mission to merge cutting-edge AI with the complexities of Indian law. Driven to bridge the gap between fast-moving tech and the traditionally slow, opaque legal system, I built a platform where accessibility and precision aren't just aims - they're assured.

Every chess match is a dialogue - a test of strategy, creativity, and learning. "Chess Game" isn't just a web-based app; it's a bold AI experiment that blends traditional gameplay with Deep-Q Learning to create an ever-evolving digital opponent.

Hand Sign Recognition with IoT was built from a vision: communication should be accessible to everyone. Powered by embedded sensors and machine learning, I created an AI-powered IoT smart glove system that recognizes hand signs and sign language gestures in real-time - transforming gestures into understanding with 95.7% accuracy.

WebRTC VAD was crafted from a need: communication should be seamless, not interrupted. Inspired by the vision of making voice detection invisible yet powerful, I built a system where every word matters and every silence is understood - all in real-time.

YOLOv8 Blueprint Detector was born from a vision: architecture shouldn't be analyzed manually. Driven by the power of computer vision, I built a system where blueprints speak their secrets - doors and windows detected, visualized, and delivered in moments, not hours.

Card Information Analyzer was built from a vision: extracting information from cards shouldn't be manual. Powered by Google Gemini AI, I created a modern web application that transforms card images into structured data - supporting camera capture, file upload, and intelligent analysis with a beautiful dark/light theme interface.

RAG QA Bot was conceived from a belief: knowledge shouldn't be buried in documents. Driven by the fusion of retrieval and generation, I built a system where questions find answers not just in text, but in understanding - where context meets intelligence to bring information to life.

Real-Time Fraud Detection was forged from urgency: threats shouldn't wait for analysis. Built on the backbone of Spark, Kafka, and Cassandra, I created a pipeline where every transaction is watched, every pattern is learned, and every fraud attempt is caught - all in the blink of an eye.

Click-Through Rate Prediction was born from curiosity: what makes an ad clickable? Developed during my Innovate Intern journey, I built a model where data tells stories, patterns reveal opportunities, and every prediction brings marketing closer to perfection - one click at a time.

Retail Customer Clustering was created from insight: customers aren't all the same, but patterns reveal their stories. Developed during my Prodigy Info Tech experience, I built a system where K-means finds segments, where spending patterns speak volumes, and where 5 distinct groups emerge from 4,000+ records - each with its own story.

Food Calorie Prediction emerged from a simple desire: nutrition tracking shouldn't be guesswork. Fueled by the power of machine learning, I created an app where every meal tells its story - food recognized, calories revealed, health made effortless through the lens of AI.

Handwritten Character Recognition was crafted from a mission: every stroke matters, every character tells a story. Built during my Code Alpha internship, I created a system where pen meets pixel, where handwriting becomes data, and where 94% accuracy isn't just a number - it's a bridge between analog and digital.

Predictive Real Estate was built from a vision: property value shouldn't be a mystery. Developed during my Prodigy Info Tech journey, I created a model where features speak prices, where data reveals patterns, and where R² > 0.85 isn't just accuracy - it's confidence in every prediction.

Cats vs Dogs Classification was born from a playful challenge: can classical ML still compete? Built during my Prodigy Info Tech internship, I crafted a system where SVM meets pixels, where features tell species, and where 88% accuracy proves that sometimes, the classic approach is the winning move.