class AadityaPathak: def __init__(self): self.location = "India ๐ฎ๐ณ" self.focus = ["Machine Learning", "Full-Stack Dev", "Mobile Apps", "Backend"] self.languages = ["Python", "JavaScript", "Dart", "TypeScript", "SQL", "C++"] self.currently = "Building across AI systems that solve real problems , mobile, and backend" self.ask_me_about = ["ML pipelines", "threat detection", "Flutter", "REST APIs"] def mission(self): return "Turn complex problems into elegant, working solutions."
Languages
Python JavaScript TypeScript Dart SQL C++ Bash
AI / ML
YOLOv8 OpenCV TensorFlow scikit-learn NumPy Pandas
Frontend & Mobile
Tools & Infra
Git GitHub Actions VS Code Docker
A real-time, ML-powered threat detection system that understands context โ not just keywords. Uses NLP and behavioural signals to classify threats with high accuracy.
View Repository โAn AI-powered learning platform that personalises educational content. Designed to democratise quality education using intelligent recommendation and adaptive quizzing.
View Repository โPredictive ML system for smart waste and forest resource allocation. Uses historical patterns to reduce waste and optimise ranger/resource deployment in real time.
View Repository โA visual exploration web app that transforms how users discover and interact with photography. Built with a focus on immersive UI and smooth browsing experience.
View Repository โA production-grade quant research pipeline exploring alternative data from aviation stress. Features route overlap analysis, disruption spike detection, and Granger causality testing.
View Repository โA mobile app built in Dart/Flutter targeting skincare tracking and personalised product recommendations. Clean UI with smooth cross-platform performance.
View Repository โ