IMAGE PROCESSING

Lip Reading using AI | Lip Reading using Neural Networks

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Lip Movement Reading to Text using Artificial Intelligence Lip Reading using Artificial Intelligence, This project works on Real-Time Laptop Webcam and detect the motion of person mouth and identify that person is taking or not. Lip Reading using Python and Tensorflow Software Requirements :- Hardware Requirement:- ☎️ Contact Us For More Queries:- 📲 Call/WhatsApp: +91-9460060699 […]

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Skin Disease Classification using Deep Learning | Python Projects for Resume

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Skin Burn Detection using Machine Learning In this video, we will show skin burn detection system using image processing, user have to upload input image to software, the input image will be burned skin image and machine learning model is trained on large dataset of skin burn images and algorithm is used to train model,

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Iris Recognition using Deep Learning | Python Projects for Final Year Students

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IRIS Flower Classification using Python IRIS Disease Prediction using Machine Learning, In this project user have to enter the value of sepal and petal parameters and ML model will predict the disease. This project is trained on large dataset of csv file that contains those parameters and disease. Graphical User Interface developed using tkinter Iris

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Iris Flower Classification using Machine Learning | Python Project for Beginners

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IRIR Flower Classification using Data Science IRIS Flower Classification using Machine Learning, In this project user have to enter the value of sepal and petal parameters and ML model will predict the disease. This project is trained on large dataset of csv file that contains those parameters and disease. Graphical User Interface developed using tkinter

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IPL Cricket Score Prediction using Machine Learning | Python Projects for Resume

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IPL Win Probability Predictor Project using Machine Learning IPL Cricket Score Prediction using Deep Learning, this project is web based project and Django framework is used to develop it. User have to provide inputs to model and predict the Match Score, they have to select the Batting and Bowling Team and number of overs, Run

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Food Detection using Machine Learning | YOLO Object Detection Using OpenCV And Python

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Food Ingredients Recognition through Multi-label Learning In this project video we will show diet recommender system with food recognition system using machine learning. User have to upload label image from computer. then model will detect text from image extract those text and it will extract all the ingredients written in label image and analyse the

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Image Forgery Detection using Deep Learning | Engineering Projects for CSE Students

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Image Forgery Detection using Convolutional Neural Network. In social media nowadays the main source of shared information is digital images. It’s crucial to identify these forgery images because malicious software can forge such images for fake information. A deep learning model is used to detect forgery in digital images and differentiate between compressed image or

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Image Dehazing using Deep Learning | Image Processing Projects 2025

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Image Classification in Computer Vision Image Dehazing task has been a challenge in field of computer vision, during adverse weather condition the image captured and appear to be very low quality of image due to presence of atmospheric particles, like fog, haze, etc. so it troubles in detecting object in image. Image Classification using Machine

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Image Dehazing using Deep Learning | Image Processing Projects

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Image Dehazing using CNN( Convolutional Neural Network ) Image Dehazing task has been a challenge in field of computer vision, during adverse weather condition the image captured and appear to be very low quality of image due to presence of atmospheric particles, like fog, haze, etc. so it troubles in detecting object in image. Image

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Real-Time Dehazing for Image and Video using Image Processing | Image Dehazing using CNN

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Remote Sensing Image Dehazing using Deep Learning Image Dehazing task has been a challenge in field of computer vision, during adverse weather condition the image captured and appear to be very low quality of image due to presence of atmospheric particles, like fog, haze, etc. so it troubles in detecting object in image. Dehazing for

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