Deploy ML tensorflow model using Flask(backend+frontend)
Connect tensor flow model or any python project using flask without any use of API calls. Add any ML prototype and showcase your projects. Deploy using heroku. Since, many students want to deploy their college projects such as final year project but they aren't much familiar with different technologies.
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Create anywhere use Flask web-app with pycharm
Flask web-app creation with systematic flask file structure, ready-to-use template and using it anywhere for any project, working with PyCharm IDE. 1. Installation and configuration 2. Flask files hierarchy 3. Define flask app 4. Routes or links 5. Creating homepage 6. Deploy locally 7. Create universal layout file and add bootstrap 4.
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