Social platform for video recipes that makes cooking fun.
Cooking-centric social platform / 6-month engagement / 4-person team
About the project
Weat offers a huge library of recipes with easy-to-follow step-by-step video guides. The app lets users create their own video recipes, like, comment, share, follow and subscribe for updates from their favorite cooks, and buy private recipes. Restaurants can use the platform for promotion.
Services
UI / UX Design
Software Engineering
Quality Assurance
Technologies
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Client: Flutter, Flutter Web, GraphQL
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Data: Firebase, Neo4J, Algolia
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Cloud: GCP, NodeJS, TypeScript
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Testing: K6, Mockito
Product Team
2 engineers
1 designer
1 QA
Product features
Custom recipe creation
Each step in the recipe is presented as a video. Users can cut video, add text, and change visual effects. Similar functionality you may find on Tik-Tok and Instagram.
Data moderation
To prevent the creation of restricted content, the platform allows admins to monitor created content and mark it appropriately.
Video feed
The data feed updates all the time and users see fresh personalized content based on their dietary requirements and food preferences.
Notifications
Users get notifications regarding their activities e.g. likes, comments/responses, or subscriptions.
Administration panel
Restaurant owners have the ability to manage their business in a convenient way using a web application based on Flutter.
“We selected Radency via word of mouth hearing that they worked on similar software and have experienced flutter engineers. We worked together via standups every morning. Their engineers were very bright and loved to learn new technologies. Occasionally we had to speed up development and we were not disappointed by their fast delivery.”
CTO, Food Entertainment Company
Radical Efficiency
illustrations
Virtual assistant
Functionality
While cooking and following recipe users can ask Jarvis (our virtual assistant) for help. For example, they can ask for a substitution for specific ingredients.
Implementation
In order to achieve good results with little effort, our team decided to incorporate OpenAI into the application.
We’ve programmed OpenAI so that it suits our needs:
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Customized “creativity level”
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Set specific answers for questions
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Set fines for incorrect answers
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