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NSTiwari/README.md

Hi there 👋, I'm Nitin Tiwari.





  • 🔭 Software Engineer | LTIMindtree
  • 🌱 Google Developer Expert - Machine Learning
  • 🖊️ Contributor to Google Dev Library
  • 💬 I also write blogs on Machine Learning and Deep Learning applications on Medium.
  • 📫 If you think I can help you, let's connect and talk on LinkedIn.

Following are some of my favorite repositories that I have contributed to and/or contribute to.

My projects

FarmScan: Farmer's Assistance using Gemini

FarmScan: Farmer's Assistance is an implementation of using the Google Pro Vision model API on Android to recognize the freshness of fruits/vegetables, its approximate market value, shelf life, and a lot more insights to help farms plan cultivation/selling of crops better.

AI Architect using Stable Diffusion

This project is an implementation of fine-tuning an SDXL model using DreamBooth and LoRA on custom data of interior rooms to generate designs for your home.

PharmaScan: Extract medicine data using Gemini Pro Vision

PharmaScan is an Android application that leverages Gemini Pro Vision model to identify medicines and provide their details such as usage, dosage, diagnosis, etc on-the-go.

Real-time waste detection on the browser using TF.js-TFLite

As an initiative to solve for environment, this project is an implementation of detecting various categories of waste in real-time by deploying a TF Lite model directly on the browser.

Video Game Control using Pose Classification and TensorFlow Lite

Create a video game controller that plays the game for you by detecting and classifying human poses. This project is an end-to-end tutoial to train a pose classifier model and deploy it using TF Lite.

Real-time Object Detection in Video Games using TensorFlow

A cool project where Computer Vision meets video games. This project lets you do object detection in Grand Theft Auto: Vice City, in real-time.

Cartoon Classification on Android using TensorFlow Lite

A fun image classification Android app built using TF Lite that classifies cartoons.

TensorFlow.js Custom Object Detection

An end-to-end project on training a custom object detection model and deploying it on the browser using TensorFlow.js.

Visual Data Extractor using TensorFlow

A Computer Vision application built using TensorFlow for businesses that require data pipelines for extraction of visual data (graphs and charts) from images and dashboards.

Custom Text Classification on Android using TensorFlow Lite

Train a custom text classifier and deploy it on an Android app using TF Lite.

YOLOv3 Custom Object Detection

Train a YOLOv3 Custom Object Detection model and inference the detections using Python and OpenCV.

YOLOv3 to TF Lite Conversion

Convert YOLOv3 based models into TF Lite version using Python and inference the results using OpenCV.

Pinned

  1. Medicine-Scan-with-Gemini Medicine-Scan-with-Gemini Public

    PharmaScan is an Android application that leverages Gemini Pro Vision model to identify medicines and provide their details such as usage, dosage, diagnosis, etc. on-the-go.

    Jupyter Notebook 11 4

  2. TFJS-TFLite-Object-Detection TFJS-TFLite-Object-Detection Public

    This repository is an implementation of object detection to detect waste in real-time directly on the browser using the TFJS-TFLite Web API.

    JavaScript 8 2

  3. TensorFlow.js-Custom-Object-Detection TensorFlow.js-Custom-Object-Detection Public

    An E2E custom object detection browser-based application using TensorFlow.js.

    Jupyter Notebook 22 19

  4. Video-Game-Control-using-Pose-Classification-and-TensorFlow-Lite Video-Game-Control-using-Pose-Classification-and-TensorFlow-Lite Public

    An E2E tutorial to create a video game controller by creating a custom pose classifier using TF Lite.

    Python 7

  5. YOLOv3-Custom-Object-Detection YOLOv3-Custom-Object-Detection Public

    An E2E tutorial on custom object detection using YOLOv3 with Transfer Learning on Google Colab.

    Jupyter Notebook 20 16

  6. Custom-Object-Detection-on-Android-using-TF-Lite Custom-Object-Detection-on-Android-using-TF-Lite Public

    An end-to-end tutorial to train a custom object detection model and deploy it on Android using TensorFlow Lite.

    Kotlin 11 7