Junior B.Tech CSE (AI-ML) student at Adani University with strong foundations in full-stack development, data science, data analytics, and machine learning. Passionate about building scalable software systems and applying intelligent, data-driven solutions to real-world problems.
const prince = {
name: "Prince Lakhani",
role: "AI/ML, DS & Full-Stack",
location: "Gujarat, India",
university: "Adani University",
skills: [
"React", "Node.js",
"Python", "TensorFlow",
"MongoDB", "Docker"
],
passion: "Building the future",
code: () => "🚀 Let's build!"
};Get to know the person behind the code
I'm a Junior B.Tech CSE (AI-ML) student at Adani University, Ahmedabad, with a deep passion for building technology that matters. My journey in tech started with curiosity about how things work and evolved into a relentless pursuit of building scalable, intelligent software solutions.
I specialize in the intersection of Artificial Intelligence and Machine learning, creating applications that are not only visually stunning but also powered by intelligent data-driven insights. From crafting responsive frontends with React.js to building robust backends with Node.js and deploying ML models on the cloud — I love turning ideas into reality.
When I'm not coding, you'll find me exploring new technologies, participating in hackathons, or diving into research papers on deep learning and data science.
Technologies & tools I work with
Things I've built that I'm proud of
A full-stack food delivery platform with glassmorphism UI, real-time order tracking, JWT authentication, admin dashboard, cart management, and role-based access control. Built with a premium dark theme and responsive design.
An ML-powered application that predicts laptop prices based on specifications. Features a modern glassmorphism UI, FastAPI backend, and trained ML model deployed for real-time inference.
End-to-end ML pipeline with data preprocessing, feature engineering, and model training achieving 94% accuracy. Compared 5 classification algorithms and deployed a prediction API via Flask on GCP handling 200+ daily inference requests.
A real-time messaging platform supporting 100+ concurrent users with WebSocket connections. Features message encryption, typing indicators, read receipts, and media sharing capabilities.
A modern, responsive restaurant website featuring an elegant UI, menu showcase, reservation system, and seamless user experience with smooth animations and interactive elements.
Interactive visualization tool for 10+ sorting and pathfinding algorithms (Dijkstra, A*, BFS, DFS, Merge Sort). Optimized rendering pipeline achieving 60 FPS animations for datasets up to 1,000 elements.
Academic journey & qualifications
Relevant Coursework:
Scored 520/650 with 92 in Mathematics and A1 in Computer Practical. Percentile ranks: Science Theory 94.90, Overall 96.87.
Scored 546/600 with 98 in Sanskrit, 96 in Gujarati, and 94 in Mathematics. Computer Education: A1 in both Theory & Practical.
Milestones along the way
Completed comprehensive Data Science certification course from CodeWithHarry
Top 10 finalist in university-level hackathon out of 50+ participating teams
Scored 91% (Percentile 98.21) in SSC and 80% (Percentile 96.87) in HSC — Science Stream
Completed Machine Learning (Andrew Ng) and Deep Learning Specialization courses
Have a project in mind? Let's build something amazing together.
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.