nurmuhimawann/C22-098-Fruity-Website
🍏 Capstone Project of MSIB Dicoding 2022 Cycle 3. We plan to build a machine learning model to predict fresh fruit. That way, users are expected to be able to easily separate between fresh and rotten fruit.
# Technical Summary Implements a TensorFlow-trained convolutional neural network for fruit quality classification, deployed as a Flask web application that accepts image uploads for real-time inference. The model architecture uses Keras (TensorFlow's high-level API) to distinguish fresh from rotten fruit through image analysis, with deployment options on Railway or Fly.io PaaS platforms for scalable inference serving.
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May 01, 2023
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