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 […]
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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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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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
Crowd Counting with Lidar | Crowd Counting using YOLO Read More »
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:-
Loan Approval Prediction using Machine Learning | Credit Risk Prediction using Python Read More »
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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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
Chatbot Assistant using Python The rapid growth of digital documents has necessitated efficient tools for document management and reading. This paper introduces a novel PDF reader chatbot application designed to improve the user experience and interaction with PDF documents. The chatbot leverages natural language processing (NLP) and machine learning techniques to enable users to interact
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Blood Cancer Detection using Deep Learning Blood Cancer Detection using Neural Networks introduces a diagnostic tool that aids in the early detection of blood cancer through medical imaging analysis. By training on diverse datasets, the neural network can identify abnormalities in blood cell morphology, providing timely and accurate insights for medical professionals. This application enhances
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The rise of Internet of Things (IoT) devices has great connectivity and automation across various domains, but it has also exposed networks to a broad range of cyber threats. This project proposes an attack detection system specifically designed for Internet of Things (IoT) devices, using machine learning algorithms to analyze network traffic patterns and identify
