Jeel Donga
Building Intelligent Systems That Solve Real-World Problems.
ScrollAbout Me
Building intelligent software through AI, data science, research, and engineering.
I'm a Computer Engineering student passionate about building intelligent software that solves practical problems. My interests span Artificial Intelligence, Computer Vision, Data Science, and Full-Stack Development, where I combine research, engineering, and product thinking to create impactful solutions.
I've worked on AI-powered document intelligence platforms, computer vision systems for public transportation analytics, EV trend forecasting dashboards, and medical image segmentation research. I enjoy transforming ideas into real-world applications through modern technologies and continuous learning.
Every project I build starts with a simple question: “Can this create meaningful value for someone?”
Focus Areas
Skills & Expertise
AI, Full-Stack, Data Science, and Emerging Technologies used across real-world projects and research
AI & Machine Learning
Data Science
Frontend
Backend & Databases
Automation & Emerging Tech
Featured Projects
Projects focused on AI, Computer Vision, Full-Stack Development, and Data Analytics
Smart Doc AI
AI-Powered Document Intelligence & Conversational Search Platform
Built a full-stack document intelligence platform that enables users to upload, manage, and interact with documents through AI-powered natural language conversations using Google Gemini AI.
TransitGuard
Computer Vision-Based Revenue Leakage Detection for Public Transportation
Built an AI-powered transportation analytics platform that uses Computer Vision and real-time passenger counting to detect ticketing discrepancies, reduce revenue leakage, and provide operational insights for public transport authorities.
EV Trend Prediction & Analysis
Data-Driven Electric Vehicle Analytics & Forecasting Platform
Built a data analytics platform for electric vehicle adoption forecasting, pricing analysis, charging infrastructure optimization, geo-spatial visualization, and environmental impact assessment using Python, machine learning, and data visualization techniques.
Multi-Organ Segmentation Research
Transformer-Based Medical Image Segmentation Framework
Conducted a deep learning research study comparing CNN and Transformer-based architectures for multi-organ segmentation in laparoscopic surgical images using the Dresden Surgical Anatomy Dataset.
AI-Based Connector Defect Detection
Industrial Quality Inspection using Computer Vision & IoT
An AI-powered industrial inspection system that automates connector quality analysis using Computer Vision, deep learning, and real-time hardware integration. The system detects manufacturing defects, classifies fault types, and triggers automated alerts for quality control workflows.
Achievements & Recognition
Grants, awards, and milestones earned through building and shipping
Google Student Ambassador (GSA)
Selected as a Google Student Ambassador, leading technical community initiatives, organizing workshops and technology-focused events, and mentoring students to foster learning, collaboration, and technology adoption across the campus ecosystem.
₹60,000 Innovation Grant Awarded
Awarded ₹60,000 in project funding for TransitGuard, an AI-powered public transport analytics platform that uses Computer Vision to automate passenger monitoring, validate ticket issuance, and identify revenue leakage in public transportation systems.
Core Organizer – VERVE 2K26 & Campus Events
Recognized for organizing and executing major college events including VERVE 2K26, Exuberance, SCET Tech Fest 'Kshitij', and SSIP initiatives. Contributed to event planning, team coordination, logistics management, and successful execution across multiple cross-functional teams.
T-MOS: Transformer-Based Multi-Organ Segmentation Research
Developed a deep learning framework for multi-organ segmentation from laparoscopic images, benchmarking CNN and Transformer-based architectures including U-Net, DeepLabV3+, Swin U-Net, and Swin UNETR. The research paper based on this work is currently under review for publication.
1st Prize – OEP Poster Presentation Competition
Secured 1st Prize and won a cash award for presenting the T-MOS research project at the Open Ended Project Poster Presentation Competition.
Let's Connect
Have a project idea, research collaboration, or just want to say hello?