Forge — AI Fitness Ecosystem

Overview

Forge is an intelligent fitness ecosystem engineered by Mohitrajsinh Jadeja to deliver personalized AI workout coaching, automated nutrition and hydration tracking, and predictive physical health analytics.

The Problem

Generic workout applications lack real-time adaptation to individual recovery rates, performance trends, and dynamic schedule constraints, leading to plateaued progress or overtraining.

The Solution

Forge combines intelligent LLM reasoning with health data pipelines to dynamically synthesize personalized workout routines, offer real-time posture/execution coaching advice, and calculate optimal recovery metrics.

Key Features

• AI Coach: Real-time adaptive workout routine recommendations.
• Workout Planner: Algorithmic progression and dynamic set/rep allocation.
• Health Analytics: Hydration, caloric intake, and fatigue tracking dashboards.
• Cross-Device Sync: Scalable cloud data persistence with fast indexing.

Technical Stack & Architecture

Built with full-stack TypeScript architecture using Next.js for server-rendered performance, MongoDB for dynamic user metric storage, and integrated AI API endpoints for personalized coaching generation.

Role & Technical Decisions

• Developer & Architect: Designed end-to-end data schemas, user UI flows, and API integrations.
• Performance Optimization: Utilized server components and static generation for fast page response times.