Projects

What I've built, and what I learned

Every project here started with a genuine question, involved at least one major failure, and taught me something I couldn't have learned any other way.

Problem
What did I observe that seemed worth fixing?
Why it mattered
Why did I care enough to build something?
What I built
The actual thing I made.
What went wrong
Where my assumptions failed.
What I learned
What I'd do differently.
AI / RAG Docker Pinecone Ollama

RAG Based Search Tool — Internship Project

An AI-driven Retrieval-Augmented Generation (RAG) system built during my time at Bharati Innovative to organize and unlock scattered historical CAD/CAM design knowledge, reducing lookup time and improving workflow efficiency by an estimated 65–75%.

🔧 Technologies: RAG · Pinecone Vector DB · Ollama · Docker · n8n · Embeddings
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Robotics Computer Vision Embedded Systems Python

Autonomous Vehicle

Teaching a small vehicle to perceive its environment, make navigation decisions, and move without human control. The core question: how does a machine understand space?

🔧 Technologies: OpenCV · Python · Raspberry Pi / Arduino · Ultrasonic Sensors · Camera Module
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ESP32 Sensors Embedded C Safety

Fall Detection System

An embedded system designed to detect potentially dangerous falls using low-cost sensors. Exploring whether affordable hardware can provide meaningful safety benefits.

🔧 Technologies: ESP32 · MPU-6050 Accelerometer · Embedded C · Alert System
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Web HTML/CSS/JS Accessibility Social Impact

Technology for Parents of Autistic Children

A platform designed to make useful information and resources more accessible to parents navigating autism-related challenges. Built after observing how fragmented existing resources were.

🔧 Technologies: HTML · CSS · JavaScript · Accessibility Standards
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A Note on These Projects

None of these projects are finished products. They are working explorations. I'm more interested in showing how I think through a problem than in presenting polished demos. If you want to understand the thinking behind each build — the failures, the pivots, the surprises — read the Build Log.