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asl-recognition-with-deep-learning

American Sign Language (ASL) recognition using deep learning in Python is an interesting and challenging project. This involves training a deep learning model to understand and classify the different hand gestures and signs that make up ASL.

crack-detection-tool

This project revolutionizes industrial inspection by employing drones for crack detection and instance segmentation, utilizing YOLOv8, SAM, and the Roboflow API. By integrating high-resolution cameras on drones, we achieve real-time monitoring, accurately identifying cracks and structural anomalies, thus enhancing safety and efficiency.

crack_detection_using_segment_anything

digital-image-processing-using-java-

Digital image processing using Java involves manipulating and analyzing images through coding in the Java programming language, providing a platform-independent solution for various image enhancement and analysis techniques.

googlecolab

language-translation-using-kerasnlp

Building an Indian language translator with KerasNLP, we created a sophisticated RNN, incorporating advanced models, emphasizing tokenization, and maintaining a commitment to inclusivity and accessibility.

lip-sync-using-wav2lip

Create a Lip Synced video with the help of the video and audio links provided in the pdf above Following is the link for the Pre- Trained model required in the first assignment: https://github.com/Rudrabha/Wav2Lip

segment-anything-annotation-tool

segment-anything-gui-using-matplotlib

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

video-quality-enhancement-using-real-esrgan-repository

Demonstrating expertise in advanced AI model development, I have successfully crafted a project focused on elevating video quality through resolution upscaling and noise reduction. The project exclusively utilizes the videos provided in the attached PDF for the upscaling task.