AI Trainer

Overview

AI Trainer is a production-ready fitness coaching platform built for both personal trainers and individual athletes, with a dual experience for client management and self-guided progress. The core differentiator is a context-aware AI advisor that responds using user-specific training history, profile preferences, and platform data rather than generic fitness prompts. The system combines admin-curated content with automation workflows, giving teams full control over workouts, exercise libraries, video content, and scalable expansion paths. Architecturally, it is designed as a flexible foundation that can evolve across AI models, coaching workflows, and product direction (SaaS, personal coaching, or trainer-client platform).

Features

• Engineered a personalized AI coaching layer (Chutes AI / DeepSeek-R1, model-swappable) that generates context-aware fitness guidance from user and platform data.
• Built a role-based full-stack architecture for trainers and athletes, including secure auth, session handling, and protected route flows.
• Designed and implemented an extensible content and data backbone (workouts, exercise/video libraries, questionnaires, progress signals) to support rapid feature expansion.
• Delivered a centralized admin control plane that manages nearly all platform entities, enabling curated operations alongside automated workflows.
• Integrated multilingual and localization-ready UX with internationalized messaging and profile-driven language preferences.
• Implemented production-grade platform safeguards including schema-driven data access (Prisma + PostgreSQL/Supabase), rate-limiting hooks, and environment validation hardening.

Tech stack