Built by RoviDev Studio
BetPronósticos AI
A complete sports prediction system with ensemble ML models, a multi-channel Telegram bot, a read-only REST API and a Stripe sales landing. In production with workers, quality gates and an AWS deployment.
Project overview
Project built by RoviDev Studio: football predictions with machine learning in production. A complete sports prediction system with ensemble ML models, a multi-channel Telegram bot and a read-only REST API…
Problem → Solution
The challenge
- Manual tipsters don't scale and lack verifiable metrics.
- Monetising predictions requires channels, payments and tier management.
- ML models need continuous retraining and quality gates.
The RoviDev Studio delivery
- ML pipeline with ensembling, feature engineering and automatic validation.
- Telegram bot with 4 channels based on the user's risk profile.
- Documented REST API for predictions, statistics and subscriptions.
- Landing with Stripe/crypto and reporting and sync workers.
What’s inside
Automatic ensemble
Training with features, validation and scheduled retraining.
Multi-channel
Bot with public, conservative, balanced and aggressive channels.
Documented REST
Endpoints for predictions, historical stats and tier management.
Stripe + crypto
Sales landing with subscriptions and premium access.
Background jobs
ML training, reporting, sync and automatic health checks.
AWS Lightsail
Terraform, PM2, quality gates and continuous monitoring.
Stack & architecture
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