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Prakruti Rathod

Computer Science undergraduate · AI/ML, Computer Vision & Embedded IoT

Surat, Gujarat, India

@prakruti_rathod

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🎓 B.Tech in Computer Science and Engineering at Sarvajanik College of Engineering and Technology · Graduating 2027

About

Computer Science undergraduate focused on AI/ML, industrial computer vision, and embedded/IoT systems. Built a YOLO/OpenCV/OCR steel coil-ID recognition workflow during an automation internship and physically tested an ESP32 biometric attendance system integrated with Firebase.

Experience

  • AI/ML & Computer Vision Intern
    AM/NS India · Hazira, Surat
    Jun 2026 – Jul 2026

    Developed a computer-vision workflow to read steel coil IDs from plant CCTV images using Python, YOLO, OpenCV, Roboflow, OCR and QR-code detection. Collected live CCTV images, created and annotated a custom dataset, and trained/tested object-detection models for industrial imaging conditions.

  • Software Development Intern
    AM/NS India · Hazira, Surat
    Jun 2025 – Jul 2025

    Built a Python/Django auction prototype with login, simulated bidding and basic frontend/backend functionality; not deployed.

Education

  • B.Tech
    Sarvajanik College of Engineering and Technology
    Computer Science and Engineering (CSE) · 2023 – 2027
  • High School
    2023
  • Secondary
    2021

Skills

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Linux Wokwi Gazebo GitHub Arduino VS Code Firebase Roboflow Raspberry Pi Google Sheets Jupyter Notebook Google Apps Script Firebase Realtime Database

Projects

  • Gym Management System
    SQL

    Built a SQL-backed DBMS group project for managing gym records and operational workflows.

  • Crop Yield Prediction using Machine Learning
    Python

    Built a Python-based crop-yield prediction project using data preprocessing, model training/testing and analysis.

  • Smart Biometric Attendance System
    ESP32, R307, Firebase Realtime Database, Google Sheets, Google Apps Script, Blynk, AES, Wokwi

    Implemented and physically tested an ESP32 + R307 fingerprint attendance system with IN/OUT logging, Firebase Realtime Database, Google Sheets and Google Apps Script communication. Built dashboard/IoT workflows with Blynk, plus AES-encrypted fingerprint-template backup/restore, anti-spoof/security logic and disaster-recovery support; repository includes Wokwi simulation and documentation.

⚽ Extracurricular activities

  • CWM (Cyber Warrior Meetup) Member

    Supported cybersecurity awareness events and related technical activities.

  • Flipkart Hackathon Participant

    Participated in the Flipkart Hackathon and Nirma University’s Mind-Ed; attended AI and cybersecurity workshops.

  • AIU Basketball Team Member and Captain

    Represented Sarvajanik University at AIU basketball tournaments twice and captained the team both years.

  • School Basketball Player

    Selected for national-level school basketball after state-level participation.

  • NCC Cadet

    Former NCC Cadet.

🎯 Hobbies & interests

  • Basketball

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