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## 📚 Description
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The goal of this project is to classify brewed coffee into categories such as **Underdeveloped**, **Ideal**, or **Bitter**, based on spectral data obtained using the **AS7265x spectroscopy sensor**. A deep learning model is trained using Python and TensorFlow, then converted into **TensorFlow Lite** and deployed on a physical prototype for real-time prediction.
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The goal of this project is to classify brewed coffee into categories such as **Underdeveloped**, **Strong**, **Weak**, **Bitter**, or **Ideal** based on spectral data obtained using the **AS7265x spectroscopy sensor**. A deep learning model is trained using Python and TensorFlow, then converted into **TensorFlow Lite** and deployed on a physical prototype for real-time prediction.
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