Landing Page
Dashboard Page
Workout History Page
Ai coach Page
Pricing Page
Account Page

🚀 Fit AI – Making Fitness a Lifestyle, Not a Luxury

✨ Inspiration

The idea for Fit AI was born from a simple observation:
Not everyone can afford a personal trainer or nutritionist—but everyone deserves a healthier life. We saw how people gave up on their fitness goals due to generic plans, confusing routines, or the high cost of expert help.

We thought:

"What if there was an affordable AI-powered system that adapts to your body, goals, and routine, and helps you stay on track—like a personal coach in your pocket?"

That’s when Fit AI was born.

🧠 What We Learned

How to fine-tune and integrate AI models for real-time chat and smart recommendations.
How to work with RevenueCat for seamless in-app purchases and Pro version tracking.
Hosting dynamic applications using Netlify with CI/CD workflows.
Building personalized plans using body metrics, history, and exercise data.
Managing a full-stack app with secure transactions, progress tracking, and predictive modeling.

🛠️ How We Built It

Frontend: Built with React.js, designed for responsiveness, user friendliness, and modularity.
Backend: Powered by Node.js and Express, handling user authentication, progress tracking, and dynamic workout generation.
Database: MongoDB stores user data, body metrics, workout history, and tagged exercise libraries.
AI:
- Used bolt.new AI to accelerate code generation and integrate custom GPT-based logic.
- ChatGPT powers live coaching, meal insights, and user interaction.
Transactions:
- Integrated RevenueCat for managing subscriptions, billing, and Pro-tier access control.
Hosting:
- Deployed on Netlify for fast, reliable, and globally-distributed access.
Data:
- Pulled from Kaggle datasets for detailed exercise routines, nutrition plans, and fitness benchmarks.

✅ Key Features

🔍 2500+ exercises with searchable tags: body part, equipment, level, priority
🍱 AI-powered meal suggestions and nutrition analysis
🧠 Live chat support using integrated AI agents
📊 Fitness analytics: calories, BMI, body fat %, strength profile, total volume
🧘 Adaptive planning: changes workouts based on your daily condition, equipment, and goals
🔥 Discipline tracker: streaks, missed days, progress rate
🔮 Pro version:
- Predictive model showing your future physique
- Historical insights
- Advanced customizations

🧩 Challenges We Faced

Merging fitness data with GPT in a safe and contextual way.
Handling real-time queries and meal logic with limited training tokens.
Customizing dynamic workouts per user without overwhelming the backend.
Managing subscription flow, testing sandboxed transactions, and syncing data using RevenueCat.
Ensuring performance and quick deployments with Netlify CI/CD pipelines.

🌟 Final Thoughts

Fit AI is a tool to empower people — not just to work out, but to build consistency, track progress, and stay accountable with real-time help.

We learned that AI, when guided with empathy and data, can redefine personal fitness — making it affordable, adaptive, and truly personalized.

This is not just a fitness app. It’s your transformation companion.
Let’s make smarter fitness the new normal.

Built With

bolt
chatgpt
express.js
javascript
kaggle
mongodb
node.js
react.js
revenuecat
typescript

Submitted to

World’s Largest Hackathon presented by Bolt

Created by

Led a team in a this hackathon despite limited preparation time. Took end-to-end ownership of backend development and overall project architecture.

Designed and implemented the complete backend, including RESTful APIs, authentication, and database schema using MongoDB, Express, and Node.js.

Established a scalable project workflow, ensuring smooth collaboration across frontend and backend.

Handled backend–frontend integration, developing service layers, REST mutations, and interaction logic for seamless data flow.

Contributed to frontend development using React.js, building interactive components and ensuring responsive UI.

Played a pivotal role in task distribution, technical decision-making, and delivery under tight deadlines.

Akash Arun Tayade
I was primarily responsible for integrating the backend with the frontend, setting up secure authentication using Google OAuth, and implementing the pricing and subscription flow. I also handled the deployment process, ensuring the app ran smoothly in production with proper environment configurations and API connectivity.

Abhishek Bante
This was my first project built using Bolt AI, where I focused extensively on the frontend development. I worked on designing the user interface, placing elements effectively for a smooth user experience, and ensuring intuitive navigation. Additionally, I implemented premium membership validation to restrict access to certain pages, along with integrating a functional search bar to enhance user accessibility within the platform. This project is designed to guide users in performing gym exercises correctly.

safal patil
I primarily worked on the frontend for this project. It was my first time using Bolt.new and React, which made it a bit challenging, but also a great learning experience. I also got the chance to explore some exciting new AI tools and concepts along the way.

Kartik Kathalkar