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Drug Name Prediction with CNN

Overview

This project utilizes Convolutional Neural Networks (CNN) to predict drug names from images of drug boxes. The model offers interactive drug suggestions based on image analysis.

Features

CNN Implementation:

Trained a CNN model to extract features from drug box images. Achieved accurate drug name predictions through image analysis.

Dynamic Drug Suggestions:

Enhances user experience with real-time drug suggestions. Employs CNN predictions for personalized and interactive recommendations.

Requirements

Python 3.x TensorFlow or PyTorch (choose based on your preference) Additional dependencies listed in requirements.txt

Acknowledgments

The model architecture is inspired by [cite the relevant paper or source]. Thanks to the open-source community for providing essential tools and frameworks. Contributing We welcome contributions! Please follow our Contribution Guidelines.

Feel free to reach out with any questions or feedback. Happy coding!

About

🩺 MediScan: Drug Name Prediction with CNN Innovating healthcare with MediScan, a project that employs Convolutional Neural Networks (CNN) to predict drug names. Harnessing the power of deep learning to enhance accuracy in pharmaceutical data analysis and advance drug discovery.

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