ToshanKhulbe

A dual-controller turret built with a four-person final-year team: the Raspberry Pi 5 runs YOLOv11 and OpenCV person detection while an STM32 Nucleo handles microsecond-precision PID motor control — so vision never stalls the motors. 40–45 FPS on the edge, zero cloud.

• A low-latency UART protocol at 115,200 bps keeps the two controllers in lock-step.
• Layered safety: software geofencing, PID overshoot protection, a human kill-switch and automatic failsafe cut-off.
• TOF-sensor logic moves it between detect, track and engage within 2.5 m; a sub-1 kg, fully 3D-printed chassis, under ₹70,000 in hardware.

YOLOv11OpenCVRaspberry Pi 5STM32PIDUART

An autonomous four-stage agentic pipeline — Python, EasyOCR and Gemini 2.5 — that turns unstructured medical scans and PDFs into structured clinical data, however the lab laid out its report.

• Pulls patient details, test results and reference ranges out of wildly variable layouts.
• A normalization agent repairs OCR artifacts and standardizes units before anything is trusted.
• Abnormal values are flagged against their reference ranges automatically.

PythonEasyOCRGemini 2.5agents

Source on GitHub ↗

An autonomous multi-agent Discord assistant built on LangGraph and Gemini 2.5, with specialised ReAct agents for ideation and market research — and the Model Context Protocol wiring the conversation to real tools.

• MCP bridges chat to local execution: GitHub repositories scaffolded and issues filed straight from a conversation.
• SQLite and the GitHub API track each project’s momentum score.
• A daily Google Calendar briefing keeps the work moving.

LangGraphGemini 2.5MCPSQLiteGitHub API

Source on GitHub ↗

A comparative testbed — Python, the Gemini API and vector databases — that benchmarks LLM reliability, hallucination rates and token consumption, using generated Jeopardy-style quizzes as the yardstick.

• Dynamic quizzes measure how much retrieval really improves accuracy over plain inference.
• The finding: RAG cuts hallucinations and sharpens retrieval precision, trading more tokens for facts you can trust.

PythonGemini APIVector DBsRAG

Source on GitHub ↗

A full-stack e-commerce platform I architected and deployed end to end: React on the front, Django REST APIs behind it, and the payments, auth and order flow that make it a real business.

• RESTful Django APIs drive the business logic, the database and the client–server flow.
• Secure user authentication, dynamic product catalogues and automated order management.
• Responsive, cross-device React UI with the Easebuzz payment gateway for secure transactions.

React.jsDjango RESTEasebuzzAuth