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🌫️ Air Quality Prediction Using Deep Learning – Python Project

Predict air quality levels using deep learning techniques. This project is ideal for developers exploring environmental data analysis and AI-based forecasting.

Key Features

Predicts air quality index (AQI) based on environmental parameters

Utilizes deep learning models for accurate predictions

Built with Python and deep learning frameworks

🔗 Explore the full project here:
Air Quality Prediction Using Deep Learning – View Project


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👤 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

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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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