This Discord chatbot is incredibly versatile. Powered incredibly fast Groq API

It seems like you're referring to "Facial Beauty Detection," which involves developing a system or model to evaluate and quantify the beauty of facial features in images.

This project implements a YOLOv8 model to detect and classify various skin diseases from images. The model is trained on a dataset of labeled images and can identify different types of skin conditions in real-time.

Apply color transformations, exposure, hue, contrast, tint adjustments and more on videos/images with CoreImage and CoreML

End-to-End streamlit aplication using langchain to query an image

Computer_vision_projects

A desktop automation tool used to capture windows and imitate mouse click events at arbitrary location.

FYP Group Project, based on TensorFlow Lite Model Trained Datasets with accessible Libraries generated from Google Machine Teachable for Machine Learning.

Earthquake building damage detection using UAV-based image datasets.

Camera-based gesture controller for Windows. Powered by MediaPipe Hands + OpenCV, it recognizes natural hand gestures and maps them to system actions

Simple android app for detection of images using Machine learning and Android studio integration

Discord AI Compose Project Example (LasP Team)

We will use the Convolutional Neural Networks, to classify the cancer cells into Normal and Cancer cells. Two custom models and two models on transfer learning.

An Image based Detector for identifying Chicken Fecal Matter

This project is an AI-powered pothole monitoring platform that detects road defects using YOLO, allows citizens to report issues, and provides administrators with a dashboard to track and resolve them. It combines computer vision, backend automation, and user interfaces to make road maintenance faster and smarter.

This is a restful API written in Python and Flask Micro-framework, implementing a pre-trained image detection neural network (ImageNet) with the tensorflow library. App was deployed on AWS and AZURE utilizing a docker container.

Using OpenCV to detect cars! This is how self driving cars works. Using pretrained data of haarcascade for detecting cars!