MoodSnap is a web application that classifies uploaded images as either "Happy" or "Sad" using a pre-trained image classification model. The application features a user-friendly interface that allows users to upload images and receive immediate feedback on the classification result.
- Frontend: HTML, CSS, JavaScript
- Backend: FastAPI
- Machine Learning: TensorFlow (Keras)
Watch the demo video to see MoodSnap in action:
