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Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2

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Ravindu987/README.md

Hi there 👋

I'm Ravindu Madawalagama a dedicated Computer Science and Engineering undergraduate from the University of Moratuwa, Sri Lanka.

LinkedIn       Gmail       Medium       Whatsapp      

I'm passionate about cutting-edge technologies which have the potential to change our lives. My GitHub profile reflects my keen interest in areas such as

  • Deep Learning
  • Computer Vision
  • Machine Learning
  • Embedded Systems
  • Software Engineering
  • MLOPs

I thrive on exploring innovative solutions at the intersection of these fields. Join me on this journey of continuous learning and collaborative exploration into the exciting realms of technology.

Tools in hand 🛠️

Python  C++  Java  JavaScript  TensorFlow  PyTorch  DVC  Arduino  Git  MySQL  SQLite  GitHub  Linux  Pandas  Scikit-Learn  NumPy  NodeJS  React  AndroidStudio 

Summary

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  1. V-Num V-Num Public

    Customized Vehicle Number extraction system optimized for moving vehicles

    Python 6 3

  2. Accident-Rescue-App Accident-Rescue-App Public

    Automated Accident Detection and rescue system capable of sending immediate SOS messages via Mobile Application

    Java 3 3

  3. Accident-Rescue-Device Accident-Rescue-Device Public

    Firmware for accident detection device. Detects accidents through Accelerometer data and notifies mobile application via Bluetooth. Sends periodic location updates as well.

    C++

  4. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

    Trained a machine learning model to detect credit card fraud detection and implemented it on a Basys 3 FPGA using Verilog for real-time fast inference

    Tcl 1

  5. MetMiner MetMiner Public

    An information retrieval system from a knowledge base of Sinhalese poems. Developed using ElasticSearch and NodeJS elasticsearch client as the backend IR system and React to develop the Frontend.

    JavaScript

  6. Taxi-Time-Predictor Taxi-Time-Predictor Public

    A machine learning project developed using tools used in industrial settings such as PyCaret, DVC, MLFlow and BentoML. Developed as a learning project.

    Jupyter Notebook