The Client
Controle de Treino (Startup Client)
A leading organization in their sector, facing significant operational challenges that required innovative technological solutions to maintain competitive advantage and operational efficiency.
AI & Full-Stack Engineer
Completed (Awaiting Client Launch)
AI Trainer: Intelligent Workout Plans with RAG
I developed a web application that uses a RAG model, fed with expert knowledge, to generate and analyze workout plans with an unprecedented level of personalization.
Client
Controle de Treino (Startup Client)
Role
AI & Full-Stack Engineer
Period
2024
The Challenge
Understanding the business context and identifying the core problems that needed solving.
The Problem
Generic workout plans from common apps fail to meet specific user goals, while elite personal trainers are prohibitively expensive for most people.
This created significant bottlenecks, increased operational costs, and limited scalability potential.
My Objectives
Given the challenges identified, I was tasked with delivering specific outcomes:
1
Generate highly personalized workout plans based on user goals and available equipment
2
Analyze user progress and suggest intelligent adjustments to their plan
3
Validate the AI's effectiveness and safety with consulting human experts
1
Quantitative Results
2
Qualitative Outcomes
The Solution
My strategic approach to solving the challenges through innovative architecture and technology choices.
Technology Stack & Reasoning
React (Next.js)
Chosen for its powerful full-stack capabilities, server-side rendering for performance, and excellent developer experience for building a premium web app.
N8N
Used as the workflow automation and AI orchestration layer, providing a robust, low-code environment to host the RAG model and manage interactions with the OpenAI API.
Key Features Implemented
1
AI Workout Generator
Generates a complete, personalized workout plan after the user provides their goals, experience level, and available equipment.
2
Executed Workout Analysis
Analyzes user-inputted data from completed workouts to track progress and identify areas for improvement.
3
Performance Metrics Dashboard
Visualizes key progress metrics over time, such as total volume, personal records, and consistency.
Results & Impact
The measurable outcomes and lasting impact achieved through strategic implementation and execution.
Quantitative Results
1
97% of AI-generated workout suggestions were approved by the consulting human specialist during testing
Qualitative Impact
1
Overwhelmingly positive feedback from beta users on the quality and personalization of the workout plans
2
Demonstrated the viability of using RAG to democratize access to expert-level fitness advice
Interested in Similar Results?
I'd love to discuss how I can help bring similar success to your next project. Let's explore how we can work together to achieve your goals.
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