Foodlabs

Implemented an application with a recommendation algorithm for personalized food selection, significantly increasing user engagement – HealthTech

Project amount

+50 000 $

Timeline

6 months

Team

12 people

Stack

Flutter, Nodejs, Python, React, PostgreSQL

About the Client

Foodlabs is a mobile app that develops healthy eating plans based on health screening results. By integrating health data and the expertise of nutritionists, it offers personalized nutritional recommendations that promote optimal well-being and meet individual health needs.

Website:
TBD

Main request

The primary request from the client was to develop a mobile application that could offer personalized food recommendations based on users' medical parameters, dietary preferences, and health goals. The goal was to create an intuitive and user-friendly platform that would provide tailored food suggestions to help users maintain a healthy lifestyle.

What we did

Developed mobile applications for iOS and Android using Flutter

Ensured a consistent and seamless cross-platform experience

Built a high-performance app with a single codebase, reducing development time and simplifying updates

Collaborated with the company's methodologists to design and implement a recommendation algorithm

Implemented an algorithm that analyzes user data to provide personalized food selections from the partner network

Problem solving

We met the client's need for personalized food recommendations by creating cross-platform mobile apps with a unified Flutter codebase. The recommendation algorithm, developed in collaboration with the company's methodologists, analyzes user data to deliver tailored food choices that align with individual preferences and dietary requirements.

Result

The app now provides the following key functionalities: Personalized product recommendations: Based on user preferences, behavior, and analytics, the algorithm suggests products from the company's partners. Cross-platform consistency: Both iOS and Android apps deliver the same high-quality user experience, optimized for performance and responsiveness. User engagement tools: Integrated features like user feedback on recommendations, allowing the algorithm to continuously improve and refine its suggestions. This solution resulted in a significant increase in user engagement by delivering relevant, data-driven recommendations that keep users connected to the platform and its partner services.