Artificial Intelligence Projects

Blood Cancer Detection using Deep Learning Blood Cancer Detection using Neural Networks introduces a diagnostic tool that aids in the early detection of blood cancer through medical imaging analysis. By training on diverse datasets, the neural network can identify abnormalities in blood cell morphology, providing timely and accurate insights for medical professionals. This application enhances

The rise of Internet of Things (IoT) devices has great connectivity and automation across various domains, but it has also exposed networks to a broad range of cyber threats. This project proposes an attack detection system specifically designed for Internet of Things (IoT) devices, using machine learning algorithms to analyze network traffic patterns and identify

Violence Detection System using Machine Learning Abnormal Activity Detection and Alert System in ATM, It is a crucial monitoring which is used to record anomalous human behavior without human efforts, the model has the ability to automatically take input video and live surveillance suspicious activity. The main objective is to automatically identify and mark occurrences

Abnormal Activity Recognition Based on Deep Learning Abnormal Activity Detection is a crucial monitoring which is used to record anomalous human behavior without human efforts, the model has the ability to automatically take input video and live surveillance suspicious activity. The main objective is to automatically identify and mark occurrences that need human attention using

Abnormal Activity Detection using Deep Learning Suspicious Activity Detection in videos is a fascinating area of computer vision that aims to automatically identify unusual or anomalous events from video footage. By leveraging machine learning algorithms and computer vision techniques, it becomes possible to develop systems that can detect abnormal activities, such as fighting, robbery, abuse,

Sign Language Recognition using Python and OpenCV Sign Language Detection using Machine Learning, this project developed using python programming language. This machine learning model is trained on large dataset of images with different signs so it can easily identify word sign, character and numbers. User have to first login with username and password. If the

American Sign Language Detection with Python and Mediapipe Sign Language to Text Conversion project works on real-time hand gesture detection from laptop webcam. User have to show hand gesture and machine learning model then it will identify the gesture. The Sign language is a visual language used by the people with the speech and hearing

Sign Language Detection using Machine Learning In this video, we will provide detailed explanation about sign language detection and recognition system project using yolo algorithm, this project will work on image based dataset and real time detection through laptop front camera. first user have to login with username and password, if the credential is correct

Sign Language Translator using Machine Learning Sign Language Recognition System using Machine Learning, This project works on Images as well as real-time hand gesture detection from laptop webcam. User have to upload any hand gesture image to machine learning model then it will identify the gesture Similarly It will detect word gesture, the laptop front

Sign Language to Text Conversion Project using Python Sign Language Detection and Sentence Suggestion leverage neural networks to interpret and understand sign language gestures. This application translates sign language into text or speech, facilitating communication between individuals with hearing impairments and those who do not know sign language. The neural networks’ proficiency in recognizing diverse