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-----------------💼 Skills------------------

----------------- 🔭 Tools and Technologies -----------------

  • 🔭 I’m currently working on Android, iOS app development and Machine Learning.
  • 🌱 Learning Swift, GUI development
  • ⚡ Working towards the goal of becoming a software developer while pursuing my Ph.D in Precision Agriculture
  • 🧬 Worked with Perl, and R for scripting during my earlier years in Bioinformatics.
  • 👨‍💻 Learned C (first programming language to learn) and C++ for fun, or to meet specific requirements during projects.
  • 🌐 Learned HTML, CSS, Bootstrap, JS, Flask, PHP for building functional web application, primarily for bioinformatics.
  • 🚀 Have been working with Python, Numpy, Pandas, Tensorflow, Keras, and Pytorch for the past few years for ML and DL application development
  • 🐍 Working with Python 3 to solve almost everything! (Networking, web application, Machine Learning, Data processing)
  • 🌘 Used Matlap primarily for college course work and data processing and have some basic experience with database Management systems
  • 📡 Learning Kotlin, Swift, Android for mobile app dev.

📌 Pinned Repositories

@jithin8mathew's 2021 GitHub Skyline @jithin8mathew's 2022 GitHub Skyline

📫 Articles

Estimating depth for YOLOv5 object detection bounding boxes using Intel® RealSense™ Depth Camera D435i

Building an android application to control Tello drone flight and perform real-time object detection using YOLOv5

Real-time Background Segmentation (without machine learning) using Intel® RealSense™ D405 Depth Camera and Python3

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Jithin Mathew's Projects

coco-annotator icon coco-annotator

:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

netviz icon netviz

Neural Network Visualization (Under development)

tactusnota icon tactusnota

An iPad application for annotating bounding boxes for object detection

yolov5 icon yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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