A web app for Flight Delay Prediction using Random Forest Classifier
1st place solution (grad division) in 2020 TAMIDS Data Science Competition
Free EU261 flight compensation checker and claim letter generator: delayed, cancelled or overbooked flight? See if you're owed €250–600 and claim it yourself, without paying 25–35% to claim agencies.
Airline Flight Delay Intelligence — 6.2M+ flights, 14 airlines, 628 airports, seasonal patterns, on-time performance, delay cause analysis | Python | Pandas | Matplotlib
PostgreSQL-based US flight delay diagnosis and attribution analysis project using BTS on-time performance data.
End-to-end flight delay prediction system using GCP, BigQuery ML, and Looker Studio — trained on 745K flights with weather and spatio-temporal features.
Predeparture U.S. flight delay prediction with BTS data and chronological evaluation
End-to-end ML pipeline to predict flight departure delays (>=15 mins) using flight & weather data.
Flight delay and connection risk analysis using EDA and machine learning, supporting the GateRunner concept.
BTS flight departure-delay classification: temporal validation, LightGBM, probability calibration, frozen final test and bilingual executive study.
Presentation Link: https://www.youtube.com/watch?v=MNy65IYIx24&t=13s
Flight delay & cancellation compensation checker (UK261/EU261). Next static + Cloudflare Worker.
ML model predicts total flight delays using real-world data (carrier, weather, airport, etc.) with Linear, RF & GB regressors. Includes feature engineering & model comparison.
Visualization of Flights Delays in the US
EC 261/2004 flight compensation claim agent — LangGraph.js, TypeScript, GDPR-first.
Machine Learning project for predicting airline flight delays using Python, Scikit-learn, and data analysis.
Flight Delay Prediction - Predictive Systems project in AI / ML / GenAI for CSEProjects360 final year project catalog.
AI agent that checks your delayed flight, reads the UK and EU compensation rules live, works out what the airline owes you and fills in the airline's claim form in a recorded cloud browser. It never presses Submit. Built on Anakin for Anakin Forge 2026.
A machine learning pipeline using PySpark to predict flight arrival delays based on departure delays, timing, and aircraft metadata from the 2007 US DOT dataset.
Predicts US domestic flight delays on 18.2M flights — LightGBM AUC 0.8629, SHAP explainability, cascade propagation, $2.78B cost-benefit analysis, deployed on Hugging Face Spaces.
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