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Yadavrishi9500/README.md

Hey, I'm Rishi Yadav 👋

Typing intro




👨‍💻 About me

Computer Science student and AI developer interested in building systems around video, images, documents and real application data.

I mostly work with:

Computer Vision · RAG / LLMs · FastAPI · Backend Systems · Edge AI

I enjoy projects where AI is connected to a complete working pipeline — not just a model sitting in a notebook.

🚦 Traffic Guardian Pro

⭐ Flagship Project

Edge-AI dashcam surveillance system for detecting wrong-way vehicles

Python YOLOv8 OpenCV EasyOCR Computer Vision


Traffic Guardian Pro is my most complete computer-vision project.

It processes dashcam footage in real time, tracks vehicles across frames, analyzes their movement, identifies wrong-way driving and captures license-plate evidence for detected violations.

Dashcam Feed
     ↓
YOLOv8 Detection
     ↓
Spatial Tracking
     ↓
Motion Analysis
     ↓
Wrong-Way Decision
     ↓
Evidence Capture
     ↓
Plate OCR
     ↓
Violation Log

What I built

🚗 Real-time vehicle detection using YOLOv8

🧭 Multi-frame spatial tracking and direction analysis

📈 Bounding-box growth analysis for approaching vehicles

📸 Automatic close-range evidence capture

🔤 License-plate extraction with OpenCV + EasyOCR

🗂️ Automated violation logging

This project pushed me beyond simple object detection into tracking, temporal reasoning, spatial logic, OCR and complete system integration.

✦ More Projects

🧠 DocuMind RAG

Local AI assistant for chatting with multiple PDFs

FastAPI Streamlit RAG Ollama Llama 3.2

Built a complete local RAG pipeline that retrieves relevant document evidence and generates grounded answers with page-level citations.

Highlights

  • Multi-PDF knowledge base
  • Sentence Transformer embeddings
  • Semantic retrieval
  • Source previews
  • Grounding guardrails
  • Pytest + GitHub Actions
  • Dockerized services

⚙️ Form Builder

Full-Stack Internship Project · Team Lead

Flutter FastAPI PostgreSQL Redis JWT

Worked across frontend and backend integration on a dynamic form-building and response-management platform.

My work

  • Led frontend-backend integration
  • Connected JWT-secured REST APIs
  • Integrated PostgreSQL + Redis
  • Worked on file uploads
  • Added PDF / Excel export flows
  • Coordinated Docker + Nginx integration

🧰 Tech I Work With




REST APIs · JWT · Pydantic · Pytest · GitHub Actions · Semantic Search

🔬 Exploring next

RAG              → Hybrid Search → Reranking → Evaluation
Computer Vision  → Tracking → Real-Time Systems → Edge AI
Backend          → Architecture → Testing → Production

I like building things where AI actually has to interact with the real world.

Developer quote



build → test → break → understand → improve

Pinned Loading

  1. Traffic-Guardian-Pro Traffic-Guardian-Pro Public

    Traffic Guardian Pro is an edge-AI dashcam system built to detect and document wrong-way vehicles in real time.

    Python 4

  2. form-builder-app form-builder-app Public

    Forked from PepperBitt/form-builder-app

    Full-stack Form Builder and Response Management System built with FastAPI, Flutter, PostgreSQL, Redis, and Docker.

    Python 2

  3. Macro-Manager-System Macro-Manager-System Public

    Java desktop macro automation tool with global hotkeys, text/app actions, repeat execution, JSON persistence, and an emergency stop system.

    Java 4

  4. Yadavrishi9500 Yadavrishi9500 Public

    2

  5. documind-rag documind-rag Public

    Local multi-document RAG assistant with semantic search and page-level citations.

    Python