The AI/ML story
How my work connects
My portfolio is one connected system of skills, not a pile of unrelated notebooks. Select a technology to see exactly which projects use it — every edge is grounded in the verified repository of each project.
Open to AI/ML internships & GenAI roles
AI / ML Engineer in Training
I build machine learning applications, intelligent simulations, computer vision systems and decision-support tools that turn technical ideas into practical, testable software.
About
A builder's path: ICT diploma foundations, applied Python, and now a B.Tech in AI & ML — one shipped project at a time.
I'm Ravi Gohel, a B.Tech Computer Science & Engineering (AI & ML) student at Marwadi University, Rajkot, and a Python developer who learns by shipping. My work sits where machine learning meets real software: decision-intelligence platforms, world and market simulations, computer-vision inspection systems and retrieval-augmented assistants — each one built, evaluated and deployed as a working application.
My long-term direction is the intersection of artificial intelligence and neuroscience — intelligent systems inspired by how the human brain actually works. Right now I'm sharpening that through coursework, hackathons and a self-driven 40-day AI/ML build challenge that produced most of the systems in the gallery below.
Diploma in ICT at A.V. Parekh Technical Institute (2022–2025) → first Python, web and Flask builds → AI/ML internships and hackathons → B.Tech AI & ML at Marwadi University (D2D, 2025–2028) → the 40-day AI/ML build challenge and beyond.
Featured work
A self-driven challenge: one serious AI/ML system per day-theme — decision intelligence, economy and civilization simulation, traffic intelligence, market strategy and more. Search, filter, and open any card for the engineering story behind it.
The AI/ML story
My portfolio is one connected system of skills, not a pile of unrelated notebooks. Select a technology to see exactly which projects use it — every edge is grounded in the verified repository of each project.
Proof of work
Awards, leadership roles, hackathon participation and open-source engagement are listed separately and labelled honestly. Certificates and official result links attach to each entry as they are collected.
Education
A Story-Based Approach to Concepts, Algorithms, and Applications
Published eBook — store link to be added.
Experience
Internship and training records with their original dates.
Toolkit
Grounded in what the projects actually use — from scikit-learn and YOLO to Streamlit, Flask and FastAPI.
Contact
Hiring for an AI/ML or Python role, or putting a hackathon team together? My inbox is open.