Image Processing Projects

50+ Image Processing Computer Vision Projects Source Code

Download 50+ Image Processing Computer Vision Projects Source Code using OpenCV Here you can find various (50+) Computer Vision (Image Processing) projects with source code using OpenCV and download the same. Contact vtupulse@gmail.com for project source code and demonstration 1. Real-Time Angle Detector using OpenCV – Computer Vision – Image Processing Project 2. Real-Time Document

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40+ Natural Language Processing Projects Source Code

Download 40+ Natural Language Processing Projects Source Code Here you can find various (40+) Natural Language Processing projects with source code and download the same. Contact vtupulse@gmail.com for project source code and demonstration 1. Resume Screening – Natural Language Processing Project Source Code 2. Named Entity Recognition – Natural Language Processing Project Source Code 3.

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150+ Machine Learning Projects Source Code

Download 150+ Machine Learning Projects Source Code Here you can find various (150+) machine learning projects with source code and download the same. Contact vtupulse@gmail.com for project source code and demonstration 1. Machine Learning Project – Adult Salary Prediction 2. Machine Learning Project – Bitcoin Price Prediction 3. Machine Learning Project – Boston Housing Analysis

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Plant leaf infection detection Project

Plant leaf infection detection Project for final year students In this project machine learning and image processing techniques are used to detect and classify the plant leafs as infectious and non-infectious. Video Demonstration Model Building Deployment Streamlit Application The project is tested on different plant leaf datasets such as Bell Pepper, Maize, and tomato leaf

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Plant Leaf Disease Detection Machine Learning Project

Plant Leaf Disease Detection Using Machine Learning and Image Processing Project for final year students Description: In this project, we first collect images of different types of infected, good, and seems to be infected plant leaves. Once the leaf dataset is prepared then, we apply an image processing algorithm to the images and predict the

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