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Posture Detection Using Machine Learning in Python
Posture Detection This is a professional-grade, paid project developed using Python and Flask. The application detects human posture and
🧍♂️💻 Posture Detection System – Python Project 🐍🎯
Monitor and detect incorrect posture in real-time using computer vision and Python! Ideal for fitness apps, health tech, or academic projects.
🔍 Key Features:
✅ Real-time posture tracking using webcam
📷 OpenCV & MediaPipe integration
🔔 Alerts for incorrect sitting/standing posture
🧠 Uses Python, OpenCV, NumPy
🔗 Download & Source Code:
👉 Posture Detection – Python
📢 Explore more AI, ML & Python projects here:
🔗 https://t.me/Projectwithsourcecodes
🧘 Improve posture, boost productivity — with code!
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Monitor and detect incorrect posture in real-time using computer vision and Python! Ideal for fitness apps, health tech, or academic projects.
🔍 Key Features:
✅ Real-time posture tracking using webcam
📷 OpenCV & MediaPipe integration
🔔 Alerts for incorrect sitting/standing posture
🧠 Uses Python, OpenCV, NumPy
🔗 Download & Source Code:
👉 Posture Detection – Python
📢 Explore more AI, ML & Python projects here:
🔗 https://t.me/Projectwithsourcecodes
🧘 Improve posture, boost productivity — with code!
#PostureDetection #ComputerVision #PythonProject #OpenCV #HealthTech #StudentProject #FinalYearProject #MachineLearning #OpenSource #projectwithsourcecodes posture detection github
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What is a Neural Radiance Field (NeRF)
Neural Radiance Field In the evolving field of photogrammetry and 3D scene reconstruction, Neural Radiance Fields (NeRF) have emerged as
🧠📸 Neural Radiance Field (NeRF) – Deep Learning Tutorial 🖼️🔥
Explore the groundbreaking technique behind photorealistic 3D scene reconstruction from 2D images using deep learning!
🚀 What You’ll Learn:
✅ What is NeRF and how it works
📊 3D scene synthesis using neural networks
🧱 Concepts like volumetric rendering, view synthesis
📁 Code-level explanation and implementation
🧠 For enthusiasts of 3D graphics, AI, and research
🔗 Read the Full Tutorial:
👉 Neural Radiance Field (NeRF) – Tutorial
📢 For more tutorials on AI, DL, and research topics:
🔗 https://t.me/Projectwithsourcecodes
🌐 Dive into the future of 3D AI rendering!
#NeuralRadianceField #NeRF #DeepLearning #3DReconstruction #MachineLearning #ComputerVision #VolumetricRendering #AIResearch #OpenSourceTutorials #projectwithsourcecodes
Explore the groundbreaking technique behind photorealistic 3D scene reconstruction from 2D images using deep learning!
🚀 What You’ll Learn:
✅ What is NeRF and how it works
📊 3D scene synthesis using neural networks
🧱 Concepts like volumetric rendering, view synthesis
📁 Code-level explanation and implementation
🧠 For enthusiasts of 3D graphics, AI, and research
🔗 Read the Full Tutorial:
👉 Neural Radiance Field (NeRF) – Tutorial
📢 For more tutorials on AI, DL, and research topics:
🔗 https://t.me/Projectwithsourcecodes
🌐 Dive into the future of 3D AI rendering!
#NeuralRadianceField #NeRF #DeepLearning #3DReconstruction #MachineLearning #ComputerVision #VolumetricRendering #AIResearch #OpenSourceTutorials #projectwithsourcecodes
👤 Face Recognition Attendance System – Python Project
Automatically record attendance using face recognition technology. Ideal for developers exploring computer vision, automation, and real-world application of deep learning.
Key Features
• Captures and recognizes faces using OpenCV and machine learning models
• Automatically marks attendance for recognized individuals
• Logs time-stamped attendance entries for monitoring
• Handles unrecognized faces with notifications or manual prompts
• Built with Python libraries like OpenCV, face-recognition, and NumPy
🔗 Explore the full project here:
Face Recognition Attendance – View Project
📢 Discover more practical Python projects:
https://t.me/Projectwithsourcecodes
#FaceRecognitionAttendance #PythonProject #ComputerVision #OpenCV #DeepLearning #AutomationTool #OpenSourceCode #FinalYearProject #projectwithsourcecodes
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Automatically record attendance using face recognition technology. Ideal for developers exploring computer vision, automation, and real-world application of deep learning.
Key Features
• Captures and recognizes faces using OpenCV and machine learning models
• Automatically marks attendance for recognized individuals
• Logs time-stamped attendance entries for monitoring
• Handles unrecognized faces with notifications or manual prompts
• Built with Python libraries like OpenCV, face-recognition, and NumPy
🔗 Explore the full project here:
Face Recognition Attendance – View Project
📢 Discover more practical Python projects:
https://t.me/Projectwithsourcecodes
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🤝 Oral Cancer Detection – Python / Deep Learning
A deep-learning project that analyses oral cavity images to detect and localise potential cancerous lesions using CNN architectures. It helps automate early screening by classifying images (benign vs malignant) and providing segmentation/localisation to assist clinicians and researchers.
Key Features
• Image preprocessing: ROI extraction, augmentation, normalization
• CNN classification (e.g., ResNet / EfficientNet) for malignancy prediction
• Segmentation module (U-Net style) to highlight affected regions
• Model evaluation with accuracy, precision, recall & confusion matrix
• Optional web interface for image upload and instant prediction
🔗 Explore the full project here:
Oral Cancer Detection – View Project
📢 Discover more projects:
https://t.me/Projectwithsourcecodes
#Python #DeepLearning #ComputerVision #OralCancer #HealthcareAI #MedicalImaging #CNN #UNet #MLProject #DataScience #AIForGood #ProjectShowcase
A deep-learning project that analyses oral cavity images to detect and localise potential cancerous lesions using CNN architectures. It helps automate early screening by classifying images (benign vs malignant) and providing segmentation/localisation to assist clinicians and researchers.
Key Features
• Image preprocessing: ROI extraction, augmentation, normalization
• CNN classification (e.g., ResNet / EfficientNet) for malignancy prediction
• Segmentation module (U-Net style) to highlight affected regions
• Model evaluation with accuracy, precision, recall & confusion matrix
• Optional web interface for image upload and instant prediction
🔗 Explore the full project here:
Oral Cancer Detection – View Project
📢 Discover more projects:
https://t.me/Projectwithsourcecodes
#Python #DeepLearning #ComputerVision #OralCancer #HealthcareAI #MedicalImaging #CNN #UNet #MLProject #DataScience #AIForGood #ProjectShowcase