Text Classifier From Image

• Technology :Machine learning , CNN model , Streamlit , Web development

▪ Text Classifier Model: Train CNN model with labeled data to accurately classify text in images as fake or real, ensuring robust performance in distinguishing between genuine and manipulated text.

▪ Streamlit Interface: Develop user-friendly Streamlit interface facilitating seamless image uploads and intuitive presentation of prediction results, enhancing user engagement and understanding throughout the process.

▪ Flask Backend: Utilize Flask to serve your Streamlit app, providing a robust backend to handle image uploads, process text extraction, and make predictions using the text classifier model.

▪ MongoDB Integration: Establish a connection to MongoDB to store user-uploaded images, extracted text data, and prediction results.

▪ Testing and Validation: Thoroughly test your text classifier system to ensure its accuracy and robustness. Validate the model's performance using a separate test dataset and conduct user testing to gather feedback and iterate on the interface design and functionality.