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Achievement: Pull SharkAchievement: YOLO

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jijinjebanesh/README.md

Hey there! 👋
I’m Jijin Jebanesh, a Software Developer from India.

I build mobile apps, backend systems, and software-driven solutions for real-world problems.

My core stack includes Flutter, Node.js, Express, MongoDB, Firebase, and Python. Beyond app development, I’m also interested in embedded systems, ESP-based devices, firmware updating workflows, device communication, computer vision, and AI-powered applications. I enjoy working on projects that connect software with hardware and make technology more practical and useful.

I’ve worked on projects like FertiOptimizer, AttendZone, a full-stack E-Commerce app, offline communication systems, computer vision based solutions, and tools related to firmware flashing and update management.

If I find a problem interesting enough, I usually end up building something around it.

If you’d like to collaborate, connect, or talk tech, feel free to reach out!

Fun Facts: 📱 I enjoy building polished Flutter apps
🔌 I’m interested in embedded systems, firmware tools, and connected devices
🤖 I like AI, computer vision, and intelligent applications
⚡ Hobbies: Coding, tech exploration, and continuous learning

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  1. MultiFirmware-Tool MultiFirmware-Tool Public

    ### FlashStation FlashStation is a multi-device firmware flashing and update management tool designed to simplify firmware deployment, reduce manual effort, and improve reliability when working wit…

    Python

  2. fertiOptimizer fertiOptimizer Public

    ### FertiOptimizer FertiOptimizer is a smart agriculture application built to support fertilizer planning through intelligent recommendations, analytics, and weather-based insights. It is designed …

    Dart

  3. attendzone attendzone Public

    ### AttendZone AttendZone is a smart attendance management system that uses on-device face recognition and liveness detection to provide a secure and reliable way to mark attendance. It helps reduc…

    Dart 1

  4. face_liveness_recognition face_liveness_recognition Public

    ### Face Liveness Detection (Anti-Spoofing) A computer vision project that detects whether a face is real and live, helping prevent spoofing attempts such as photos, videos, or screen replays in fa…

    Python

  5. spoti_flac spoti_flac Public

    Dart

  6. hermes_overlay hermes_overlay Public

    TypeScript