Driver Drowsiness Detection
Driver Drowsiness Detection is a safety system designed to monitor a driver's behavior and detect signs of fatigue or sleepiness to prevent accidents.
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Fashion Recommendation Using ResNet
Fashion Recommendation Using ResNet leverages a deep learning model to analyze clothing images and provide personalized fashion suggestions.
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Lip Reading with Cross Audio-Video Recognition
Lip Reading with Cross Audio-Video Recognition uses deep learning to analyze visual lip movements and correlate them with audio signals for accurate speech recognition, even in noisy environments.
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Tour and Travel Website
A Tour and Travel Website serves as a one-stop platform for planning trips, offering services like destination guides, booking flights, hotels, and activities.
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Healthcare Chatbot
A Healthcare Chatbot is an AI-driven tool designed to assist users with medical queries, symptom checks, and appointment scheduling.
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Music player app
A music player app built with Flutter allows users to play, organize, and discover music with smooth animations, offline support, and personalized playlists.
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AI-Powered Virtual Assistant
Create a conversational AI virtual assistant using NLP, speech-to-text Description , and text Description -to-speech.
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Self-Driving Car Simulation
Use reinforcement learning and computer vision for autonomous vehicle navigation in a simulation.
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Real-Time Object Detection
Use YOLOv5 or Faster R-CNN for real-time object detection and tracking.
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Face Recognition and Anti-Spoofing
Build a face recognition system with anti-spoofing to detect real vs. fake faces.
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Generative Adversarial Networks (GANs)
Generate realistic images, such as faces or landscapes, using GANs.
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Human Pose Estimation
Detect and analyze human body poses using deep learning models like OpenPose.
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Medical Imaging Diagnosis
Classify and detect anomalies in medical images like X-rays or MRIs using deep learning.
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LSTM Human Activity Recognition
A project to classify human activities (e.g., walking, running) using Long Short-Term Memory (LSTM) networks on sensor data.
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AI-Powered Virtual Assistant
Create a conversational AI virtual assistant using NLP, speech-to-text Description , and text Description -to-speech.
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