This is the Backend side of my website for my startup idea called TechFarming. Built with lot of effort.
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Updated
Jan 11, 2024 - JavaScript
This is the Backend side of my website for my startup idea called TechFarming. Built with lot of effort.
Realtime American sign Language Detection A to E using Javascript, TensorFlow
Uses Vite-React to create a web application that utilized GraphQL on an Express and MongoDB backend and also TensorFlow Hepatitis Model to predict the patients result. Used Azure DevOps and github Actions for Agile Development and Continuous Delivery
This goal of this project is to find and track missing persons. The project is done using a reactJS frontend, python backend, an android app using react native and firebase for database.
A handwriting classifier on the web using TF.js and the MNIST dataset.
The app offers a full healthcare ecosystem for the user. It helps the user to stay healthy by using a fun and engaging reward based system.
Introducing ARLA-extension, a JavaScript module that ensures the integrity of examinations. ARLA-extension safeguards against cheating by blocking features such as copy/paste, printing a webpage, and also provides helpful information about the device. Not only that, it also brings you TensorFlow.js face and full body tracking.
NodeJS inference repository use Tensorflow-Keras
Realtime Face Mask Detection using Javascript, TensorFlow
A NLP Powered Question Answering webapp extracts insights from a passage to answer questions
Neural Network to predict burnt forest area(in construction)
Real-Time Solutions | Live Demo 1. Sentiment analysis of real-time tweets 2. Spam Ham Classifier
Web application which uses CNN to predict Pneumonia using X-ray images
Transformer based Neural Machine Translation with Tensorflow2
The deployment branch contains code for the corresponding Heroku website (https://brick-house-identifier.herokuapp.com/). The code for the model development can be found at https://github.com/gitgranthub/target_market.
Create conversations in sign language using machine learning!!! Realtime SLD is a 1-to-1 video calling web application which detects sign language and displays them in real-time on the caller's screen.
Website source for the Checkmate project
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