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Diabetic Retinopathy Prediction using Machine Learning | Python Projects for Final Year Students

Leave a Comment / ARTIFICIAL INTELLIGENCE, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

Diabetic Retinopathy Detection using Deep Learning Retinal diseases such as diabetic retinopathy, glaucoma, and age-related macular degeneration are leading causes of blindness worldwide. Early detection and treatment of these diseases are crucial for preventing vision loss. This project aims to develop an automated retinal disease detection system using machine learning algorithms to analyze fundus images […]

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Currency Detection using Image Processing | Indian Currency Recognition using Image Processing

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Indian Currency Recognition using Machine Learning Currency Detection and Recognition using Image Processing A Currency Detection and Recognition System (CDRS) is a technology that enables machines or computer systems to automatically identify and distinguish different types of currencies. This system is particularly useful in various applications, such as automated teller machines (ATMs), currency exchange counters,

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Cryptocurrency Price Prediction using Machine Learning

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Bitcoin Time Series Forecasting in Python | Predict Bitcoin Prices using Machine Learning Bitcoin Price Prediction with Neural Networks is a data-driven application designed to forecast cryptocurrency prices using historical data and machine learning models. By analyzing market trends and patterns, the neural network predicts future Bitcoin prices, assisting investors in making informed decisions. This

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Crowd Density Estimation using Machine Learning | Machine Learning Projects for Final Year

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Crowd Density Estimation using Deep Learning Crowd Counting and Density Based Estimation refers to counting the number of people with density estimation present in certain area. Day to day population density increases and it does complexity of the calculations. Advancement in Deep Convolution Neural Network (CNN) and it largely depend on dataset. The population is

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Crowd Counting | Object Tracking and Counting using YOLO Python

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Crowd Counting using Deep Learning Crowd Counting System using Machine Learning, this system will count the total number of person inside the frame, it will create a rectangular box and first it will detect the person and count the number of person from that particular boundary box. If the user tries to count manually then

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Crowd Counting using YOLO Python | Engineering Projects for CSE Students

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People Counting using OpenCV Python People Counting is a technique to count the number of people or objects in particular picture. There are many use cases for counting the number of people from crowd image or video, like if there is covid disease spread so we can stop from large crowd gathering from any particular

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Crowd Counting with Lidar | Crowd Counting using YOLO

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Person Crowded Detection using Python People Counting is a technique to count the number of people or objects in particular picture. There are many use cases for counting the number of people from crowd image or video, like if there is covid disease spread so we can stop from large crowd gathering from any particular

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Loan Approval Prediction using Machine Learning | Credit Risk Prediction using Python

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Loan Eligibility Prediction using Machine Learning Loan Approval Prediction using Machine Learning Software Requirements :- Hardware Requirement:- ☎️ Contact Us For More Queries:- 📲 Call/WhatsApp: +91-9460060699 🌎 Website: www.techieprojects.com 📺 Instagram: @pythonprojects_ 💡 Checkout Related Projects:- 1. Android App:- Click Here 2. Java Projects:- Click Here 3. OpenCV Projects:- Click Here 4. Data Science Projects:-

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Credit Risk Assessment using Machine Learning Project | Data Science Projects

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Credit Risk Modelling in Python Kaggle Credit risk prediction is a crucial aspect of financial risk management, enabling lenders to assess the likelihood of borrowers defaulting on loans. Traditional credit scoring models, such as logistic regression and expert-driven rule-based systems, are limited in handling complex patterns in financial data. With the rise of machine learning

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Satellite Imagery Clouds Cover Removal in ArcGIS | Removing Cloud Cover from Satellite Imagery

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Cloud Removal from Satellite Images using Image Processing, Project developed using web interface, user have to first upload of cloudy satellite image then you have to click on submit button, after submitting then it will load the model, this process will take time because we are processing and using GAN Network that takes heavy computational

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