Final Year Btech Face recognition Attendance System Project with code and Documents. Video Implementation with explanation too. Base IEEE paper Implementation

Malware-Detection-System-Using-Deep-Learning-Project. Project Includes PPT. Code, Explanation Video and Documents

Final Year Steganography Project with Code and Project report

Spam Detection Project for college students with PPT, Report, Code, Datasets and Research papers

Drowsiness Detector using Python. College Project with all Documents

Final year Co2 Emission Prediction Using Machine Learning Project with source code and documents. Btech Final Year Project

Decentrilized Blockchain Blog System Project with code and Documents

Final Year Project on Pneumonia Detection and Classification using Deep Learning for the degree of Btech Computer Science & Engineering

Desktop application for the smart bank locker which is based on the iris recognition.

Final year Btech Lung-Cancer-Detection-Project with code and documents

Final Year Project

Face Detection Project with Different ways for detection through python

Final year engineering project based on image segmentation using multi spectral and panchromatic images of Mumbai obtained using IKONOS satellite

An attendance management system using face recognition and machine learning is a system that helps many schools and colleges to mark students' attendance effortlessly and without missing any students

Face Detection attendance system. This project is presented as Main project by me in my B. Tech Final year. We made this using Python with OpenCV library's HOG algorithm.

This Project was carried out during my final year of my studies at Staffordshire University. The project was designed due to there being a lack of security around implantable devices. Within this project I have attached the Dissertation that this project was created for as well as a research paper that discusses the worries around the security o…

Final yr project where we recognise the eye wear and will reduce the tint of the sunglass

Developed an automated presentation system using hand gesture recognition, and integrated the Gemini API to dynamically generate PowerPoint slides based on user prompts.