Crack Detection using OpenCV and Python | Machine Learning Projects

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

Wall Crack Detection using Image Processing Infrastructure including building, roads and bridges have to spent millions of dollars for defect detection. Natural disaster like earthquakes and floods leads to huge damaged in infrastructure often involve assessment and visual inspection, such damage appears in major or minor cracks which leading to collapse and destruction of structure. […]

Crack Detection using OpenCV and Python | Machine Learning Projects Read More »

Waste Classifier using OpenCV Python | Garbage Classification using Deep Learning

ANDROID APP, ARTIFICIAL INTELLIGENCE, COMPUTER VISION, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

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

Waste Classifier using OpenCV Python | Garbage Classification using Deep Learning Read More »

Waste Classifier using OpenCV Python | Garbage Detection using Image Processing

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

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,

Waste Classifier using OpenCV Python | Garbage Detection using Image Processing Read More »

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

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

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

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

Transcript Video to Text with Python | Machine Learning Projects for Resume

ARTIFICIAL INTELLIGENCE, DATA SCIENCE, DEEP LEARNING, MACHINE LEARNING, WEB DEVELOPMENT /

How to Get Youtube Video transcripts from Python using Youtube API Watching an entire YouTube video may be time consuming, so this project will extract the transcript of YouTube video and generate summary of entire video. We develop a python code by using pytube to fetch details of video and YouTubeTranscriptApi to get transcripts and

Transcript Video to Text with Python | Machine Learning Projects for Resume Read More »

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Sentiment Analysis using Natural Language Processing | Python Projects for Resume

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

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

Sentiment Analysis using Natural Language Processing | Python Projects for Resume Read More »

Our Blogs
Our Blogs