AI Model classify waste into 4 categories:

AI Powered Website that helps medical staff to classify four types of skin disease with help of CNN model.

Music Player - Recommend Music based on Facial Mood Detection

Lung Cancer Prediction Model: Leverage the power of deep learning with this TensorFlow-based project. Trained on a dataset of lung X-Ray images, the model accurately predicts cancer cases. Easily integrate and utilize the model for early detection. #HealthTech #MachineLearning

The E2AI Literacy Project

This project synergizes React.js and Node.js to develop a versatile web application named 'NutriCraft.' NutriCraft offers personalized diet recommendations using the RandomForest algorithm and seamlessly incorporates e-commerce functionality. Users can receive customized diet plans and conveniently shop for related products through a user-friendly

An alphabet recogniser project that can recognise the input block letters.

Klasifikasi Sampah menggunakan Convolutional Neural Networks

This is the Backend side of my website for my startup idea called TechFarming. Built with lot of effort.

Fully cloud hosted Image classification app

Web application to create a model for image classification without any coding and easy to use

A mobile application that detects tomato leaf diseases

A web-based solution utilizing a robust tensorflow model for precise traffic condition classification made in ReactJs and FastAPI for backend.

CNN Deep Learning Project

face recognation attendance system build with Tensorflow and vue 3

Explore CNNs in action with my Dog Breed Classifier. Upload a dog image to the Gradio interface, and watch the model accurately predict the breed. Join me in uncovering the potential of CNNs in image classification! #MachineLearning #CNN #ImageClassification

This is a software application to detect network intrusion by monitoring a network or system for malicious activity and predicts whether it is Normal or Abnormal(attacked with intrusion classes like DOS/PROBE/R2L/U2R).

News website (React + Node.js + Python + MongoDB + RabbitMQ), with news scraping and recommendation.

Marked the fresh fruit inside grocery fruit crate images with React Native camera app with 85.1% average accuracy.

Identifying whether person in the images wear eye glass or not using convolutional neural networks.