Emotion-Investigator
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SanjayMarreddi
An Exciting Deep Learning-based Flask web app that predicts the Facial Expressions of users and also does Graphical Visualization of the Expressions.
Try to incorporate the following features : 1. Add all the Appropriate README Labels 2. Reduce the Content and enhance it with Images 3. Add a section for the Project...
## 🚀 Feature Emotion classification using keras and building streamlit app for future deployment. ### Have you read the [Contributing Guidelines on Pull Requests](https://github.com/SanjayMarreddi/Facial-Expression-Recognition-Classifier-Model/blob/master/CODE_OF_CONDUCT.md)? Yes ## Motivation The work that...
Use your Creativity & Open up a New Issue relating to our Project & Fix it
Try to resolve the Bug which is creating MERGE CONFLICTS when this [bot](https://allcontributors.org/docs/en/bot/usage) is used.
- Mention the proper Title, Headings - Add Colorful Background & Animations - Insert Buttons to go for Graphical Visualization instead of typing URL
Deploy the entire Web App to a Global Server so that everyone can access it via a Link/URL You may use [Heroku](https://www.heroku.com/home) as a platform
You can try to improve the accuracy of the model by : - Tuning the Hyper Parameters like : Learning Rate, Epochs, Batch Size, Number of Layers in CNN, Number...
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An Exciting Deep Learning-based Flask web app that predicts the Facial Expressions of users and also does Graphical Visualization of the Expressions.