I'm an IT engineering student at St. Francis Institute of Technology, Mumbai, building projects across frontend, full-stack, and AI/ML. My recent work spans misinformation detection with classical ML models, an artisan marketplace with an AR preview feature, and platforms for travel discovery and skill development. I care about clear, well-structured interfaces as much as the logic behind them, and I'm currently deepening my skills in data science and cybersecurity alongside continued full-stack work.
const bhoomi = {
education: "B.E. Information Technology, SFIT Mumbai",
interests: [
"AI/ML",
"Data Analytics",
"Frontend Development",
"Full Stack Development"
],
stack: [
"Java",
"Python",
"JavaScript",
"React",
"Node.js",
"Flask",
"FastAPI"
],
currentlyLearning: [
"Full Stack Development",
"Data Science",
"AI/ML",
"Cybersecurity"
],
status: "Building and learning"
};A multimodal misinformation detection and tracking platform that analyzes text and images to identify potentially manipulated or misleading content, presenting AI predictions, confidence scores, and flagged content through a React interface built for non-technical users. 🏆 Colloquium Hackathon Winner, 2026.
| Layer | Technology |
|---|---|
| Frontend | React |
| AI/ML | Random Forest, Gradient Boosting, XGBoost |
| Approach | Multi-modal (text + image) classification |
An end-to-end marketplace experience for Indian artisans to showcase and sell handcrafted products, covering discovery, artisan profiles, and product browsing — with an interactive AR feature that lets users preview products in their own space before buying.
| Layer | Technology |
|---|---|
| Frontend | HTML, CSS, JavaScript |
| Backend | Node.js, SQLite |
| Feature | AR product preview |
A full-stack personal finance platform that uses OCR and AI-assisted processing to extract receipt data, categorize expenses, and present financial information through a web dashboard. Built collaboratively.
| Layer | Technology |
|---|---|
| Frontend | HTML, CSS, JavaScript |
| Backend | Python, Flask |
| AI / Computer Vision | Tesseract OCR, OpenCV, Google Gemini API |
| Database | SQLite, PostgreSQL (production) |
Features: receipt OCR, expense categorization, financial dashboard, AI-assisted insights, voice expense entry, authentication, schedule management.
- Torchbearer — Travel & Event Discovery Platform: discovery experience for underrated places and local events, with separate flows for visitors and organizers.
- USDH — Unified Skill Development Hub: consolidates government schemes, certifications, and career content into one platform, with a personalized progress dashboard.
- IBM — Full Stack Development Certification (June 2025)
- edQuest — AI Engineer Certification (April 2026)
- Deloitte — Technology Job Simulation, Forage (June 2025)
- PR Executive, IEEE Student Committee — managed external communications and helped organize technical events on campus
- NSS Volunteer — contributed to community service activities and group coordination initiatives
Every commit raises another tower — rebuilt automatically, every day.
One-time setup: this one needs a small GitHub Action running in this repo before it has data to draw. Add the included
profile-3d.ymlto.github/workflows/here, enable Read and write permissions under Settings → Actions → General, then run the workflow once from the Actions tab. It regenerates daily after that.
