Nabeel Ali Khan &
Chanakya AI
I’m an Indian AI developer, backend engineer, ethical hacker, and tech innovator. I built Chanakya AI—one of India's first government-based AI systems—to empower education, governance, and industries through intelligent solutions.
How It All Started
I started coding when I was just 5 years old. My interest sparked when I discovered I could change the source code of games—specifically the image paths—to replace in-game assets with my own photos. Seeing my image inside a game was magical and kicked off my lifelong obsession with technology.
Since then, I've explored Web Development, Android Apps, AI/ML, Ethical Hacking, Animation, and Game Dev. Currently, I am pursuing my Bachelor of Engineering in AI & Machine Learning at Chandigarh University.
Connect on LinkedIn →AI-Powered Chatbot
Interactive, real-time Chanakya AI chatbot providing smart solutions for education and governance, powered by advanced NLP models.
Object Detection
Cutting-edge computer vision capabilities for surveillance, monitoring, and intelligent automation using YOLOv5 and OpenCV.
Scalable Backend
Built on highly scalable architectures leveraging Django, Next.js, and robust APIs for seamless performance.
Innovation in Action
Chanakya AI System
An intelligent AI chatbot designed to democratize tech and provide instant assistance.
YOLOv5 Object Detection
Real-time object detection integrated with intelligent alerts and analytics for smart security.
Open Source Contributions
All-Virtual-Gestures
A comprehensive project that recognizes and interprets multiple virtual hand gestures using computer vision and machine learning techniques.
Car-parking-slot-detector
A robust computer vision solution to detect and monitor parking slot occupancy in real-time.
David-AI
David AI is an intelligent artificial intelligence assistant designed to automate tasks, provide information, and assist users through natural language processing and machine learning.
Deep-Learning-Tuto
TensorFlow Deep Learning Projects A hands-on deep learning repository built with TensorFlow & Keras, covering end-to-end workflows from data preprocessing and model building to training, evaluation, and optimization. This repo includes practical implementations of CNNs, transfer learning, and custom training loops, with a focus on clean code