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Client-built project · Machine-learning lottery analysis and data-driven forecasts

Lotto Forecaster AI

Production

Lotto Forecaster AI is an intelligent Android forecasting platform built for Ghana’s seven NLA lottery games. It uses lottery-specific machine-learning models trained independently on verified historical draw records, ensuring that data and forecasts from different lottery types never mix. The platform automatically retrieves new official draw results, validates and stores them, evaluates previous forecasts, and retrains eligible models as fresh data becomes available. It combines multiple analytical specialists to examine frequency, recency, number relationships, positional behaviour, trends, drift, and other historical patterns before producing day-specific forecast sets. Users benefit from secure authentication, saved forecasts, cloud synchronization, wallet and subscription access, Paystack payments, phone verification, and responsible server-controlled forecast billing. Forecasts are analytical estimates based on historical data—not guarantees of winning.

Core capabilities

  • Lottery-specific trained machine-learning models
  • Automated official NLA draw ingestion
  • Multi-specialist ensemble analysis
  • Day-specific forecasts for all seven NLA games
  • Continuous model evaluation and controlled retraining
  • Historical draw analysis and forecast tracking
  • Secure wallet, subscriptions, and Paystack payments
  • Saved predictions and cloud synchronization
  • Owner-controlled administration and monitoring
  • Responsible forecasting with no winning guarantees

Technology architecture

Recorded technologies

Flutter · Dart · FastAPI · Python · Supabase · PostgreSQL · Paystack · Twilio Verify · NumPy · Vercel · Google Cloud Run

Approved project evidence

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Verified results and supporting evidence

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Published project link

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Current status

Production

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