Exercise. Earn. Repeat.
A fitness app with a real earning model — users earn in-app coins by walking, running, and completing AI-coached workouts. Coins redeem for real rewards: gift cards, merchandise, or cash withdrawals. Fitness meets fintech.
Lead Developer — React Native, AI integration, coin economy, pedometer, and reward system
Fitness + Earning App — Walk, Run, Workout, Earn Coins, Redeem for Rewards
React Native App (iOS + Android), AI Coaching Engine, Coin Economy, Admin Reward Panel
React Native · Python (AI) · Node.js · PostgreSQL · Firebase · Razorpay
BuiltAthletics was built on a simple insight: millions of people want to be fit but lack motivation. The best motivation is money. The app pays users (in coins redeemable for real rewards) for every step they take, every workout they complete, and every streak they maintain.
The AI coaching layer personalises workout plans based on fitness level, available time, and past performance — increasing session completion rates and keeping users in the earning loop longer.
Step counting uses the device Health/Google Fit API for accuracy. Anti-fraud ML model cross-checks GPS location change vs steps — eliminates phone-shaking manipulation. Earns 1 coin per 100 verified steps.
GPT-powered coaching engine creates personalised workout plans based on fitness level, available time, and equipment access. Plans adapt weekly based on completion rates and user feedback — getting progressively challenging as fitness improves.
Daily step targets, weekly challenges, and monthly fitness goals — each with bonus coin multipliers. Maintaining a 7-day streak doubles coin earnings. Monthly challenges unlock premium reward tiers.
Coins redeem for Amazon gift cards, fitness merchandise, premium app features, or cash via Razorpay wallet (after minimum threshold). Admin panel manages reward inventory, coin rates, and available redemptions.
Weekly step and workout leaderboards among friends and city-wide. Top 10 earn bonus coin drops. Social competition is the second-most powerful retention driver after monetary rewards.
Weekly and monthly fitness insights: steps, calories, workout sessions, earnings per activity type, and streak history. Export as PDF for health insurance claims or doctor visits.
iOS & Android App
AI Coaching Engine
Coaching & Plans
Backend API
Coin & Activity Data
Reward Payouts
Multi-layer anti-fraud: (1) Native Health/Google Fit API for step counting — not the accelerometer alone, which is easy to fake. (2) GPS location delta must be consistent with step count — walking 10,000 steps without moving geographically is flagged. (3) ML model trained on normal walking patterns detects rhythmic phone-shaking. (4) Daily earning cap per user prevents extreme gaming. Accounts with suspicious patterns are temporarily locked for review.
The coin economy is funded by brand sponsors — companies pay to run fitness challenges (e.g., "Walk 5km this weekend and earn Nike bonus coins"). Sponsors get visibility to an engaged, health-conscious audience. This model is similar to how Google Pay funding cashback via merchant advertising rather than losing money on every transaction. The platform takes a margin on each sponsored challenge.
Cash payouts above ₹10,000 require KYC and RBI wallet compliance. BuiltAthletics sidesteps this by offering rewards as Amazon/Flipkart gift cards and fitness merchandise — not direct cash. For apps that need cash payouts, we implement Prepaid Payment Instrument (PPI) wallet compliance via a licensed payment aggregator. TechEin advises on the right monetisation model during the discovery phase.
A full fitness earning app with AI coaching, step tracking, coin economy, leaderboard, and redemption store typically costs ₹12–20 lakhs. A simpler step-counter-only earning MVP starts from ₹5 lakhs. Contact TechEin for a discovery call and detailed quote based on your earning model and target market.
TechEin has built fitness earning apps with AI coaching, anti-fraud step detection, and real reward redemption. If you want to build the next earn-by-walking or fitness reward platform — let's talk.