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Achievement: Pull SharkAchievement: YOLO

Achievements

Achievement: Pull SharkAchievement: YOLO

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sagarmanna/README.md

Sagar Manna

AI-Focused Frontend Engineer | React • FastAPI • Computer Vision

👨‍💻 Professional Summary

I design and build intelligent web systems that combine modern frontend architecture with real-time AI processing.

My work focuses on integrating computer vision and backend inference pipelines into scalable, performance-driven web applications.

🎯 Core Engineering Focus

  • AI + Frontend Integration
  • Real-Time Computer Vision Systems
  • RESTful API Architecture
  • Performance-Optimized UI Systems
  • Modular Backend Design

🧠 Technical Stack

Frontend

React, Next.js, JavaScript, TypeScript

Backend

FastAPI, Node.js, REST APIs

AI / ML

OpenCV, Dlib, Facial Landmark Detection, EAR-based Logic

Databases

MongoDB, SQL

Tools

Git, Postman, Vercel, Uvicorn

📊 GitHub Activity


📫 Contact

LinkedIn: https://www.linkedin.com/in/manna-s/
Email: sagarmanna954@gmail.com

Engineering intelligent systems — not just building interfaces.

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  1. BharashaRide BharashaRide Public

    BharashaRide – Real-Time Driver Drowsiness Detection using React + FastAPI

    JavaScript 1

  2. JSON-TREE-VISUALIZER JSON-TREE-VISUALIZER Public

    TypeScript 1

  3. ai-product-recommendation ai-product-recommendation Public

    JavaScript

  4. -LangGraph-Prospect-to-Lead-Workflow -LangGraph-Prospect-to-Lead-Workflow Public

    An end-to-end AI-powered B2B lead generation workflow using **LangGraph**, automating prospect discovery, enrichment, scoring, outreach, response tracking, and feedback improvement.

    Python 1

  5. MoneyTracker MoneyTracker Public

    This is a personal finance tracking application built using the MERN Stack (MongoDB, Express, React, Node.js). It allows users to: ✅ Add income and expenses ✅ View a list of all transactions ✅ See …

    JavaScript 1

  6. AI-Assisted-Admission-Counselor AI-Assisted-Admission-Counselor Public

    A Streamlit-based AI-powered web app that provides personalized academic program recommendations and application advice based on user interests, strengths, and preferences.

    Python 1