Object Detection and Recognition using Machine Learning In this blog, will show project named Object Recognition using Python, this project user have to upload any image and video to machine learning model and it will first detect the object from video and it will recognize that particular object from video frame. Yolo Algorithm is used […]
Real-Time Object Detection using YOLO | Python Projects for Beginners Read More »
Detecting Natural Disasters with Keras and Deep Learning This video is about project called Ocean Safety Prediction using Machine Learning, This project will predict the severity of any particular location in sea, so that machine learning model will predict that location is safe or not for boat and it will gave output with google map
Ocean Safety Prediction using Machine Learning | Flood Prediction using Machine Learning Read More »
Vehicle Detection And Speed Tracking using OpenCV Python This project is about Vehicle Over Speed Detection and Extract Number from License Plate if they violates traffic rules. User have to upload any input video to software and this project will first detect the vehicle and simultaneously it will count the number of vehicle passing through
Vehicle Over Speed Detection using OpenCV Python | Vehicle Counting using OpenCV Read More »
Create Pacman Game using Python Pacman Game project develop using pygame python library for players to navigate through route, avoid ghosts and consume dots. players control pacman movement using keyboard inputs while running away from ghost enemies and try to maximizing points. The main objective is to develop a simplified pacman game create using python
Pacman Game using Python | Pygame Tutorial for Beginners Read More »
Helmet Detection and Number Plate Recognition using Deep Learning Helmet and License Plate Recognition using Machine Learning, this project will detect helmet and license plate detection and if person not wearing helmet then it will fetch number from the license plate and sent challan on registered mobile number. First user have to browse any input
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Keylogger Detection Project using Python Tkinter Keyloggers are a prevalent threat that record users’ keystrokes to steal credentials and sensitive data. This paper presents a Python-based keylogger detection tool that scans running processes and checks them against indicators of compromise (IOCs). The detector integrates process inspection, signature matching, and automated remediation functions. A graphical user
How to Detect Keylogger in your computer | How to Create Keylogger using Python Read More »
Laboratory Management System using Python In this blog, will show a hospital/laboratory management software developed using python programming language and tkinter is used to develop graphical user interface. all the data stored in sql database. user have to first register with personal details so it will store that person data in database. User have to
Hospital Management System Class 12 | Laboratory Management Software Read More »
Lane Detection for Self Driving Car Project using Artificial Intelligence Self Driving Car is the innovation of Artificial Intelligence using deep learning algorithms. An Autonomous car can go everywhere where a traditional car can go and it gave experience of human driver. But it’s most essential to train model properly. Road Lane Detection requires to
Inventory Management System in Python with Source Code In this blog, will show project named Inventory Management System; User have to first register and then login with username and password. Initially user have to enter Product details like Product Name, Quantity and Price. It will store details in database and perform crud operation like search,
Inventory Management System Project using Python | Python Projects for Beginners Read More »
Intrusion Detection System using Machine Learning Project Several supervised learning models were evaluated including KNearest Neighbors, Naive Bayes, Decision Tree, Random Forest, and Logistic Regression. The Random Forest model achieved the highest test accuracy of 99.45% in classifying network traffic by attack type. The most important input features were connection duration, service, source bytes etc.
Intrusion Detection System in Network Security Read More »
