Ayushkumawat/Advanced-Aerial-Drone-Detection-System
This project demonstrates real-time drone detection using YOLOv5 and OpenCV. It detects drones in real-time and displays a warning when a drone is detected inside or near a defined rectangle.
This project demonstrates real-time drone detection using YOLOv5 and OpenCV. It detects drones in real-time and displays a warning when a drone is detected inside or near a defined rectangle.
AI MedDiagnostic is a web-based application that allows users to track their symptoms and predict the likelihood of having a disease based on their symptoms.
A Machine Learning model which classifies weather the news given is genuine news or false news by the use of NLP (Natural Language Processing
Bus-Passenger-Management program will be used to digitalize local transportation system by providing QR code to students/consumers, its interactive user-interface (UI) will ease the making of excel-sheets for the buses and managing the students, means the use of paper is reduce
Number Plate Detection using Open CV and Machine Learning (TensorFlow). Live Video is processed using filters which makes this model more accurate results and the data of the vehicles are automatically updated in the Excel sheet.
Vision Language Model for Dietary Analysis is an AI-powered application that uses Google's Gemini Pro Vision API to analyze images of food, identify the items, and provide a detailed breakdown of calorie content and nutritional information.
This is a Facial-recognition project which will also classify gender
This model can classify celebrities and sports persons
Classifying hand-written digits using Convolutional Neural Network, MNIST Dataset used for training the model
Attendance by Facial-Recognition using Artificial Intelligence - Machine Learning