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Projects with source code | Android | Java | LLM | Python | Ai | JSP | Php |

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🎯 Real-Time Object Detection – Data Science Project 📷
Detect objects live from your webcam using Python and OpenCV! A great hands-on project to explore computer vision and real-time AI.

🔍 Project Features:
Real-time object detection via camera input

Uses Python & OpenCV

Beginner-friendly and well-commented code

Fully open source and customizable

Great for portfolios, students, and CV/AI enthusiasts

🔗 Download & Source Code:
Real-Time Object Detection

🌟 Follow for more full-source projects:
📢 @Projectwithsourcecodes
🔗 https://t.me/Projectwithsourcecodes

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🎯 Real-Time Object Detection Using Python – Data Science Project 🧠📷
Detect and track objects live using your webcam with Python and OpenCV! A perfect project to dive into computer vision and real-time AI applications.

🔍 Project Highlights:
Real-time detection with camera feed

Built using Python & OpenCV

Easy-to-understand code for beginners

Fully open source and customizable

Great for portfolios, AI demos, and learning computer vision

🔗 Download & Source Code:
Real-Time Object Detection – Python

🌟 Follow us for more source code projects:
📢 @Projectwithsourcecodes
🔗 https://t.me/Projectwithsourcecodes


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💵🔍 Fake Currency Detection System – Python Project 🐍
Detect counterfeit currency using image processing techniques in Python! A smart and practical project ideal for machine learning and computer vision learners.

🔍 Project Features:
🖼️ Image-based fake note detection
🤖 Python + OpenCV for processing
🎯 Accurate & fast currency verification
🧠 Easy-to-follow code – great for beginners
🆓 Fully open source and customizable

🔗 Download & Source Code:
👉 Fake Currency Detection Project

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🧠📸 Face Recognition System – Python Project 🐍👤
Build your own intelligent face recognition app using Python and OpenCV! This project is ideal for learning real-time computer vision and AI applications.

🔍 Key Features:
👤 Detect & recognize human faces
📷 Real-time camera-based recognition
🤖 Built with Python, OpenCV & face_recognition library
🧠 Great for AI, ML, and CV learning
🆓 Fully open source & beginner-friendly

🔗 Download & Source Code:
👉 Face Recognition System – Python

🌟 For more real-world source code projects, follow us:
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🖼️📝 Image Caption Generator – Python Project 🐍🤖
Generate natural language captions for images using deep learning! A powerful AI project combining computer vision and NLP — perfect for your portfolio.

🔍 Key Features:
📷 Extract features from images using CNN
🧠 Generate captions using LSTM networks
📚 Python + TensorFlow/Keras based
💬 Combines CV & NLP in one project
🆓 Beginner-friendly & open source

🔗 Download & Source Code:
👉 Image Caption Generator – Python

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🔗 https://t.me/Projectwithsourcecodes


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🕵️‍♂️🔍 Criminal Detection System – Python Project 🐍🧠
Leverage AI and facial recognition to identify individuals from images or video feeds. An impactful project that combines Computer Vision and Machine Learning!

🔍 Key Features:
🧠 Face recognition using OpenCV & Haar cascades
📸 Identify suspects from visual input
🔐 Great for security-based applications
🛠️ Built with Python + ML libraries
🆓 Fully open source & beginner-friendly

🔗 Download & Source Code:
👉 Criminal Detection System – Python

📢 Follow us for more smart AI & ML projects with source code:
🔗 https://t.me/Projectwithsourcecodes

🚀 Build real-world security solutions using code!

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😴🚗 Driver Drowsiness Detection – Python Project 🐍🧠
Enhance road safety using computer vision! This Python project detects signs of driver fatigue using real-time video and machine learning.

🔍 Key Features:
👀 Eye blink & yawn detection
🎥 Real-time webcam monitoring
📦 Built using OpenCV, Dlib, and Python
🚨 Triggers alerts when drowsiness is detected
🆓 Open source and beginner-friendly

🔗 Download & Source Code:
👉 Driver Drowsiness Detection – Python

📢 Get more ML, AI, and safety-related projects at:
🔗 https://t.me/Projectwithsourcecodes

🚀 Build tech that saves lives!

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🧍‍♂️💻 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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🧠📸 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
👤 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

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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

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