MACHINE LEARNING

Face Recognition Email Sender using Python | Python Projects for Final Year Students

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Email Automation with Voice Using Python Codes The goal of Project Vision Assist is to create a user-friendly email assistant for visually impaired individuals. The application takes voice inputs, provides voice outputs, and includes features such as summarizing emails and notifying users about the latest and upcoming events. The project also involves the development of […]

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Voice based Email for the Blind Project in Python Source Code | Python Projects for Resume

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Simple Automated Voice Controlled Email Sender using Python Our voice-enabled email system is a revolutionary tool designed to empower visually impaired individuals. It uses advanced voice recognition and text-to-speech technologies, allowing users to manage their emails entirely through voice commands. Users can securely log in, navigate their inbox and outbox, compose emails, and even receive

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How to develop an E-Commerce Website using HTML, CSS, JavaScript | Web Development Project

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E-Commerce Website using HTML, CSS, JavaScript. E Commerce Website Project using Django 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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Drug Addiction Detection using Machine Learning | Computer Vision Projects 2025

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Drug Addicted Person Detection using Python Drug Addicted Person Detection from Face Recognition using Machine Learning, this project interface is website based. When user run the python script it will generate URL user have to copy that particular URL and paste in any browser so that it will open web page where it will provide

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Fire Detection and Alert System Project | Fire Detection from Drone

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Fire Detection and Alert System using Python The Fire Detection and Alert System with Neural Networks introduces an innovative approach to early fire detection using computer vision. By leveraging neural networks, the system analyzes visual cues such as smoke and flames in real-time camera feeds to swiftly identify potential fire incidents. This project aims to

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Fire and Smoke Detection using YOLO | Image Processing Projects

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Fire Alarm System Project using Python Fire and Smoke Detection System using Machine Learning, This ML model detect the fire and smoke in any image, video or real time through laptop webcam. First Machine Learning model will process the input and detect the fire or smoke and also show with accuracy, and once fire or

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Fire and Smoke Detection using CNN | Final Year Project based on Machine Learning

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Fire and Smoke Alarm System with SMS Notification Fire and Smoke Detection System using Machine Learning, This ML model detect the fire and smoke in any image, video or real time through laptop webcam. First Machine Learning model will process the input and detect the fire or smoke and also show with accuracy, and once

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Smart Drone Detection System Project | Fire and Smoke Detector

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Fire and Smoke Detection System with Alarm using Machine Learning Fire Detection and Smoke Detection both the machine learning model with the live implementation and it has connected with Android Application as well as website. For connecting the android app, website or ML Part we have deployed in “pythonanywhere” to that server. All the alert

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Emotion Detection using Machine Learning | Text Emotion Detection in Python

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Facial Emotion Recognition from Speech, Text and Facial using Python In automobiles, safety is important factor and driver factor is most efficient for road safety and it found that 90% of road accident are due to driver fault. The driver emotion plays a important role in ensuring safety while driving. Thus detecting driver emotion could

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Driver Drowsiness Detection System using OpenCV

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Driver Drowsiness Detection System using Machine Learning Drowsiness Detection with Neural Networks introduces a life-saving application that focuses on preventing accidents caused by drowsy driving. Leveraging neural networks, the system analyzes facial features and eye movement patterns to detect signs of driver drowsiness. Real-time alerts are triggered when the system identifies potential fatigue, prompting the

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