AI Web Platform for Sports Market Predictions
Budget: $1,500 – $3,000 USD
We’re building a full-featured AI-powered web platform for predicting market trends and price fluctuations of digital items in a popular sports-related ecosystem.
We’re looking for an experienced full-stack developer (preferably with AI/ML knowledge) to help us bring the product to life.
The platform will include:
• Admin panel (React + Firebase)
• Web app (responsive design, no mobile app for now)
• User registration & login system
• Subscription system (monthly, semi-annual, yearly)
• Smart alerts: Buy/Sell suggestions based on AI predictions
• Integration with two data sources: one via paid API, one via scraping
• Google Vertex AI AutoML integration for market prediction
• Clean, modern UI using Tailwind CSS
• Strategy bots: multiple models running different logic (“bots”) with success tracking
• Users can follow bots, view their recommendations, and compare performance
• Fully documented backend structure (Firestore, Functions, secure architecture)
Ideal candidate has:
• Experience with Firebase (Auth, Firestore, Functions, Hosting)
• Proven experience in AI/ML systems (especially Google Vertex AI or AutoML)
• Experience with payment/subscription systems (Stripe or equivalent)
• Knowledge in scalable app architecture
• Bonus: Familiarity with trading logic or sports data
We’re looking for an experienced full-stack developer (preferably with AI/ML knowledge) to help us bring the product to life.
The platform will include:
• Admin panel (React + Firebase)
• Web app (responsive design, no mobile app for now)
• User registration & login system
• Subscription system (monthly, semi-annual, yearly)
• Smart alerts: Buy/Sell suggestions based on AI predictions
• Integration with two data sources: one via paid API, one via scraping
• Google Vertex AI AutoML integration for market prediction
• Clean, modern UI using Tailwind CSS
• Strategy bots: multiple models running different logic (“bots”) with success tracking
• Users can follow bots, view their recommendations, and compare performance
• Fully documented backend structure (Firestore, Functions, secure architecture)
Ideal candidate has:
• Experience with Firebase (Auth, Firestore, Functions, Hosting)
• Proven experience in AI/ML systems (especially Google Vertex AI or AutoML)
• Experience with payment/subscription systems (Stripe or equivalent)
• Knowledge in scalable app architecture
• Bonus: Familiarity with trading logic or sports data