.NET Backend & AI Integration for Advanced Fitness App in USA

See how Facile Technolab improved a fitness app with .NET backend fixes, TensorFlow AI integration, and admin panel enhancements for on-time release.

Client Story

The client is a well-known coach in the health and fitness industry in the USA and the founder of an advanced AI-driven fitness application. The app leverages TensorFlow-based AI models to deliver personalized fitness experiences for users.

The client engaged Facile Technolab to strengthen the backend foundation, resolve AI integration challenges, and accelerate app releases in collaboration with their mobile app team.

Business Case

A health and fitness entrepreneur in the United States, building an AI-enabled advanced fitness app, needed expert support for backend development and AI integration. They required a reliable .NET development partner to fix existing backend API issues, enhance the admin panel, and ensure seamless TensorFlow AI integration.

Facile Technolab took ownership of the .NET backend and AI integration tasks, collaborated with the client’s mobile development team, and enabled timely releases of multiple app versions. The engagement continues to enhance the app’s backend, ensuring a scalable and reliable fitness solution.

Challenges

The project involved several challenges that required advanced technical expertise:

Backend Reliability: Fixing performance and stability issues in the existing .NET backend APIs.
AI Integration: Improving TensorFlow integration for personalized workout recommendations.
Admin Panel Enhancements: Extending backend admin capabilities to manage users, workouts, and video-based content.
On-time Delivery: Supporting the mobile app team to ensure smooth releases without delays.

The client needed a partner who could combine deep Microsoft technology expertise with hands-on AI integration experience.

Solutions

Facile Technolab provided a dedicated lead .NET developer to collaborate with the client’s mobile app team. Key solutions included:

API Enhancements & Fixes: Addressed critical issues and improved the stability of backend REST APIs.
AI Integration: Optimized TensorFlow-based AI workflows to deliver accurate and faster recommendations.
Video & Media Integrations: Implemented backend improvements to support advanced video content delivery.
Admin Panel Enhancements: Fixed bugs and added new features for better content and user management.
Collaboration with Mobile Team: Worked hand-in-hand with the mobile team to ensure smooth app version releases.