The project predicts the sentiment ( positive ,negative, neutral ) on real-time tweets using Tweepy, AWS Kinesis Streaming, S3, Tensorflow Serving, BERT
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Updated
Oct 31, 2022 - Jupyter Notebook
The project predicts the sentiment ( positive ,negative, neutral ) on real-time tweets using Tweepy, AWS Kinesis Streaming, S3, Tensorflow Serving, BERT
The project aims to transform the realm of beauty by developing a sophisticated UNet architecture model where the input represents a woman adorned with makeup, while the output showcases her natural, makeup-free beauty.
Simple deployment for Flask web apps using TensorFlowServing and Docker, tailored for fashion classification models.
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