aliencaocao/TIL-2023

Champion at Brainhack TIL 2023: Team 10000SGDMRT

27
/ 100
Experimental

This project provides advanced artificial intelligence and robotics solutions for real-world automation tasks. It takes in audio clips (potentially noisy) and video footage to perform speech-to-text transcription, identify specific objects, re-identify those objects across different views, and recognize speakers. The system can also integrate these capabilities to control a robot for navigation and task execution in complex environments. It is ideal for engineers, researchers, or operations managers working on intelligent automation and robust sensor-driven systems.

No commits in the last 6 months.

Use this if you need highly accurate speech recognition, object detection, object re-identification, and speaker identification, especially in environments with background noise or limited training data.

Not ideal if you are looking for a simple, out-of-the-box solution without any customization or integration, or if your tasks are purely static data analysis without a robotics component.

robotics-automation speech-recognition computer-vision speaker-identification intelligent-systems
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 5 / 25

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Stars

18

Forks

1

Language

Jupyter Notebook

License

AGPL-3.0

Last pushed

May 29, 2024

Commits (30d)

0

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