FlightNu
A flight price intelligence platform that tracks fares over time, runs statistical forecasting, and tells you exactly when to buy.
FlightNu is a full-stack flight price analytics platform built from scratch: a Bloomberg-style dark-mode dashboard that continuously monitors flight routes, runs statistical analysis on historical fare data, and generates buy/wait/monitor recommendations backed by real math. It features a synthetic price simulator with route-distance modeling and seasonality curves, a Python analytics engine computing moving averages, z-scores, and linear regression forecasts, an APScheduler background worker that ingests price observations every 4 hours with no browser required, and a Next.js frontend with glassmorphism cards, live Recharts price history overlays, and per-route prediction confidence scores.
The goals
- ✦Turn raw flight price observations into actionable buy/wait signals backed by statistical forecasting
- ✦Build a persistent monitoring system that runs continuously in the background, independent of any user session
- ✦Design a fintech-grade analytics dashboard that makes complex price intelligence feel immediate and readable
What I did
- ✓Built a Python analytics engine from scratch (SMA, EWMA, z-score anomaly detection, linear regression forecasting, 95% confidence intervals) plus recommendation logic with explicit statistical thresholds, every BUY NOW signal ships with a plain-English explanation
- ✓Designed a synthetic price simulator modeling route-distance base fares, day-of-week and hour-of-day seasonality, days-to-departure urgency curves, and stochastic volatility spikes, swappable for a live pricing API in one file
- ✓Shipped a FastAPI and SQLAlchemy backend with a full PostgreSQL schema and an APScheduler worker that ingests prices and recomputes analytics every 4 hours server-side, deployed on Render with zero browser session required
- ✓Built a responsive Next.js dashboard with live price history charts, SMA/EWMA and volatility overlays, price histograms, seasonality analysis, and a tracker creation modal with per-route Discord and email alerting
Live impact
Tools & skills
The results
