Fitness-Mobile MarketPlace & AI Coaching System
Budget / Salary₹12,500–37,500
TypeFreelance project
LocationRemote
Posted1 hour ago
Hi there,
Our team can expertly architect and build the foundational skeleton for your fitness-first mobile marketplace using Expo, React Native, and TypeScript, ensuring strict 60 FPS performance and absolute type safety.
For the character animation component, we will implement React Native Reanimated along with Skia or Lottie to handle state transitions smoothly. We will manage the character's emotional states (encourage, celebrate, correct form) by using a centralized state management solution (Zustand or Redux Toolkit) connected directly to the custom workout timer hooks and chat event listeners. This ensures the avatar reacts in perfect real-time sync with screen state changes without dropping frames.
For the AI coaching system, we will design a modular service layer that pipes user messages to the backend AI streaming service via WebSockets, returning meaningful guidance instantaneously. The entire codebase will be structured with clean, modular data models for profiles, booking, and logs, making future additions seamless. We will also wire it for Expo OTA updates using Expo Updates from day one.
We will deliver a robust, fully documented repository ready to run flawlessly on Expo Go. Let's connect to review the architectural blueprint!
Best regards,
Aditya Gupta
Our team can expertly architect and build the foundational skeleton for your fitness-first mobile marketplace using Expo, React Native, and TypeScript, ensuring strict 60 FPS performance and absolute type safety.
For the character animation component, we will implement React Native Reanimated along with Skia or Lottie to handle state transitions smoothly. We will manage the character's emotional states (encourage, celebrate, correct form) by using a centralized state management solution (Zustand or Redux Toolkit) connected directly to the custom workout timer hooks and chat event listeners. This ensures the avatar reacts in perfect real-time sync with screen state changes without dropping frames.
For the AI coaching system, we will design a modular service layer that pipes user messages to the backend AI streaming service via WebSockets, returning meaningful guidance instantaneously. The entire codebase will be structured with clean, modular data models for profiles, booking, and logs, making future additions seamless. We will also wire it for Expo OTA updates using Expo Updates from day one.
We will deliver a robust, fully documented repository ready to run flawlessly on Expo Go. Let's connect to review the architectural blueprint!
Best regards,
Aditya Gupta
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