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GitHub / SRM-IST-KTR / disturbance-detection-in-messaging-apps-using-machine-learning-e5d7h9m7

A Fully Deployable React-Native mobile app that seeks to classify incoming messages in messaging apps into important or disturbing categories. using a Multi-Modal Machine Learning Architecture to achieve Text classification, Image classification and YouTube Video Link classification.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SRM-IST-KTR%2Fdisturbance-detection-in-messaging-apps-using-machine-learning-e5d7h9m7

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 40.4 MB
Dependencies parsed at: Pending

Created at: about 3 years ago
Updated at: about 3 years ago
Pushed at: about 3 years ago
Last synced at: 8 months ago

Topics: aws-amplify, graphql, multimodal-deep-learning, react-native

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