YOLOv7 to detect bone fractures on X-ray images

Tensorflow 2 single shot multibox detector (SSD) implementation from scratch with MobileNetV2 and VGG16 backbones

This repository contains the trained deep learning models for the detection and prediction of Epileptic seizures.

The Multi-PDF's Chat Agent is a Streamlit-based web application designed to facilitate interactive conversations with a chatbot. The app allows users to upload multiple PDF documents, extract text information from them, and train a chatbot using this extracted content. Users can then engage in real-time conversations with the chatbot.

🎵 Trained CNN model for Genre classification on GTZAN dataset [CNN Model: https://github.com/Hguimaraes/gtzan.keras]

License Plate, Head blurring / pixelation using Yolov5 & Face blurring using Mediapipe

Automated meningioma segmentation

Trump vs Kamala - Running Inference Model AI Predicting the USA Presidential Party Winner 2024 by Allora Network Republican and Democrat

Automated brain segmentation

Safety Cone Detection using Yolov8 models as well optimize .onxx and .blob model

💲 Predict whether income exceeds $50K/yr based on census data

Largest Trained Dataset for SupplyChain

Provide facenet training model download, regularly updated

An automatic gate opening system with an additional parking system (using Raspberry PI).

🐵 Custom Trained Model to Act as my Friend...

🥈 2nd Place - Eestech Challange LC Trieste - Hackathon Project

The main objective of this project is to design and implement an automatic classification method, CNN, to classify cardiovascular diseases (CVDs). Diseases covered include Mitral Stenosis (MS), Aortic Stenosis (AS), Mitral Regurgitation (MR), Mitral Valve Prolapse (MVP), along with normal heart sound.

Image Classification with Keras: Predicting Images using Trained CNN with ImageNet Dataset.

upload a cat or dog pic and model analyze the pic and tell which animal it is. for now it only work on dog and cats but i will add more animals in future :-)