QEats is a popular food ordering app. It gives users a list of nearby restaurants and popular dishes. Users can use the app to order their favourite dishes from restaurants of their choice. Millions of users across the country have been using the QEats app to satisfy their hunger and taste buds. - The most requested feature on QEats is the ability to share reviews on past orders on QEats' social media pages. Users want to click a photo of the orders they have received, write eye-catching captions and add relevant tags to make their reviews easily discoverable.

In this Mini-Project, we have created QEats Reviews page on various social media sites. A series REST APIs were used to post user-submitted reviews to the QEats Reviews pages. Finally, a hosted AI-powered classifier was utilized to suggest relevant review hashtags.

The QEats backend provides all the necessary functionality required to enable users to order their favorite dishes from nearby restaurants. The following is the overall architecture of the QEats platform.

• Django
• Facebook Share API
• Django REST
• JSON
• Calrifai Predict API

• Requests Module.
• Postman.
• cURL Requests.
• Facebook Share API.
• Pinterest Share API.
• Clarifai Predict API.
• JSON Parsing.

This Mini-Project was created as part of Crio Micro Experience and Campus Tryout in association with Developer Students Club-Sathyabama.