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1. AffectNet-Emotion-Recognition AffectNet-Emotion-Recognition Public

   Real-time facial emotion recognition system trained on the AffectNet dataset. Uses deep learning and OpenCV to detect and classify 8 different human emotions in live video feeds.

   Jupyter Notebook

2. AI-Powered-Text-Audio-to-Image-Generator AI-Powered-Text-Audio-to-Image-Generator Public

   Transform words and voice into stunning AI-generated images! Features voice-to-image (via Whisper AI), text-to-image, history tracking, and a modern web UI powered by a Google Colab Python backend.

   Jupyter Notebook

3. apple-detection-system-using-yolov8 apple-detection-system-using-yolov8 Public

   Apple Detection system using YOLOv8 instance segmentation. Trained on a custom dataset using the Ultralytics framework and Google Colab for accurate object detection and segmentation.

   Jupyter Notebook

4. Driver-Safety-Guard- Driver-Safety-Guard- Public

   AI-powered driver monitoring system to detect distracted driving (drowsiness, phone use, smoking) using YOLOv8 and OpenCV. Integrates with an ESP32 microcontroller for real-time visual and audio al…

   Python

5. face-recognition-system-using-aiven-PostgreSQL face-recognition-system-using-aiven-PostgreSQL Public

   Real-time face recognition system using OpenCV for detection, imgbeddings for 512-D vector extraction, and Aiven PostgreSQL (pgvector) for scalable embedding storage and similarity matching.

   Python

6. FER-2013-Emotion-Recognition-Model FER-2013-Emotion-Recognition-Model Public

   Real-time emotion recognition model trained on the FER-2013 dataset. Uses a Convolutional Neural Network (CNN) built with TensorFlow/Keras and OpenCV to classify 7 distinct facial expressions.

   Python