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Waste Classifier using OpenCV Python | Garbage Classification using Deep Learning

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Recyclable Waste Classification using Machine Learning Waste Classification using Machine Learning. Biodegradable or recycled or non-recycled type of waste. Based on the waste quantity and waste, we will be giving the reward. That is the core. we have done the training. There’s a dataset. Basically, we have used YOLO algorithm, YOLO version is basically of […]

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Waste Classifier using OpenCV Python | Garbage Detection using Image Processing

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Recyclable Waste Classifier using Computer Vision | OpenCV Python We will be implementing the waste classification. Biodegradable or recycled or non-recycled type of waste. Based on the waste quantity and waste, we will be giving the reward. That is the core. we have done the training. There’s a dataset. Basically, we have used YOLO algorithm,

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What is YOLO algorithm? | How YOLO Object Detection Works Complete Explaination

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Object Detection using YOLO Algorithm Yolo is a Object Detection Algorithm, which is released in 2015. It detects an any object from input source and YOLO comes with pretrained model which is capable of detecting 80 types of objects. Like Car, Bike, Person, Traffic Lights, etc. So basically, Yolo Algorithm is pre-trained algorithm which is

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Sign Language Detection using Machine Learning – Detailed Explanation | Python Projects 2025

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Sign Language Recognition Project using OpenCV Python Sign Language Recognition using Machine Learning, In this project it works on Sign to Text Conversion Project, ML model is trained on large dataset of images of word (i.e., call, good, hello, house, no, ok, etc.). User have to show the exact sign of word from hand gesture

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Sign Language to Text and Speech Conversion using OpenCV | Realtime Sign Language Detection

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Sign Language Recognition Project with Source Code 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 sign

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Sign Language Recognition using Machine Learning | Final Year Project Computer Science Ideas

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Sign Language Recognition and Gesture Generation System Sign Language Recognition and Gesture Generation System designed to bridge communication gaps between hearing-impaired and non-impaired individuals. Sign Character Recognition via MediaPipe landmarks with CNN+LSTM architecture, and a sign generator that converts text input into sign language visuals. Natural Language Processing techniques enhance prediction accuracy by providing contextual

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Sign Language Recognition using Machine Learning | Python Projects for Final Year Students

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Sign Language Recognition using CNN | Machine Learning Projects Sign Language Recognition and Gesture Generation System designed to bridge communication gaps between hearing-impaired and non-impaired individuals. The system incorporates multiple modules: gesture recognition using YOLOv8, sign character recognition via MediaPipe landmarks with CNN+LSTM architecture, and a sign generator that converts text input into sign language

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Sentiment Analysis using Natural Language Processing | Python Projects for Resume

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Sentiment Analysis on Reviews with Neural Networks Sentiment Analysis on Reviews utilizes neural networks to analyze and interpret sentiments expressed in product or service reviews. This application processes textual content to determine whether reviews are positive, negative, or neutral, providing valuable insights for businesses and consumers. The neural networks’ ability to understand context and nuances

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Self Driving Car with Lane Detection using Machine Learning | Traffic Sign Detection

ARTIFICIAL INTELLIGENCE, COMPUTER VISION, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

Traffic Sign Detection for Self Driving Cars using Computer Vision Self-Driving Car Project using Machine Learning, In this project user can upload image or videos to ML model and it will detects road lane, traffic signs and autonomous steering according to curve. Simultaneously it will identify the person drowsiness state and it works on real-time.

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Pothole Detection using Machine Learning | Road Segmentation and Pothole using Yolo V8

ARTIFICIAL INTELLIGENCE, COMPUTER VISION, DATA SCIENCE, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

Road Pothole Detection using Deep Learning Pothole Detection and Road Segmentation using ML, aim of this project is to develop a deep learning-based system to detect and segment roads and potholes from images and videos. The project involves the use of semantic segmentation models trained on specific datasets to identify road areas and potholes, overlaying

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