Easy-to-use finetuned YOLOv8 models.

Object detection webUI and model for dental xray analysis

Real-time Fire Detection using YOLOv8

AI-driven traffic sign detection and recognition system using YOLOv8 and a diverse dataset including Hong Kong traffic signs, designed for enhancing road safety and efficient traffic management.

The Tactile Paving Navigation Assistant System is an AI-powered solution designed to enhance mobility for visually impaired individuals by combining real-time video analysis with voice-guided navigation. All data is processed locally, prioritizing privacy and offline usability.

Moodify is a Flask-based web application that seamlessly integrates facial emotion recognition (FER) with personalized music recommendations.

The project is a Flask-based application that uses YOLOv8 for detecting humans and vehicles in forest areas via webcam feeds, aiming to assist forest authorities in addressing trespassing incidents efficiently.

Welcome to the Fruit Ripeness and Disease Detection System! This application utilizes advanced YOLOV8 models to detect various fruits and diagnose diseases in bananas, mangoes, and pomegranates. Built with Flask, the web application allows users to either upload images for analysis or use a live video feed for real-time detection.

ai.deploy.box webassembly demo

Automatically detect incidents using live CCTV feeds with our advanced solution. Utilizes YOLOv8 for object detection, LSTM Autoencoder & One Class SVM for anomaly detection, and Flask for real-time alerts & reports.

This project is a web application for detecting skin cancer using object detection techniques. It leverages the YOLOv8 model to identify various types of skin cancer from uploaded images or videos, as well as through live webcam feeds.

👀 A web app for detecting and counting objects in videos using YOLOv8 for detection and ByteTrack for tracking, with customizable regions of interest (ROIs) function.

An AI-powered web app to that uses pre-trained deep learning models, in order to improve passengers safety and railway operations.

Repository for pedestrian traffic light detection

My graduation project on the topic of building, deploying a web application to recognize and extract text from prescriptions (Website demo deprecated)

A web-based vehicle counting app using YOLOv8 and Flask. Upload videos, detect and count vehicles in real time, and view live statistics—all in your browser. Includes sample screenshots, easy Windows startup and clear setup instructions.

In this project, I used Yolo V8 by Ultralytics to make this project work.The application’s task is to extract car plate numbers accurately by using the techniques mentioned above.

Aika is an innovative threat detection system that uses cognitive vision to monitor and analyze environments for potential hazards or intrusions. By integrating advanced computer vision and motor sensors, Aika detects unusual activity, such as unauthorized individuals entering a space, and provides real-time alerts.

Trash Object Detection & classification API based on YOLOv8

Utilize Yolov8 on Jetson Nano for person (head) detection and counting and monitoring it through localhost web