A web app for Flight Delay Prediction using Random Forest Classifier

1st place solution (grad division) in 2020 TAMIDS Data Science Competition

PostgreSQL-based US flight delay diagnosis and attribution analysis project using BTS on-time performance data.

Airline Flight Delay Intelligence — 6.2M+ flights, 14 airlines, 628 airports, seasonal patterns, on-time performance, delay cause analysis | Python | Pandas | Matplotlib

Presentation Link: https://www.youtube.com/watch?v=MNy65IYIx24&t=13s

Flight Delay Prediction - Predictive Systems project in AI / ML / GenAI for CSEProjects360 final year project catalog.

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

End-to-end flight delay prediction system using GCP, BigQuery ML, and Looker Studio — trained on 745K flights with weather and spatio-temporal features.

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.

A complete ML pipeline for predicting flight delays, including EDA, feature engineering, modeling, SHAP analysis, and error analysis.

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.

Flight Delay Project

My Research Project on the prediction of Flight Delay due to Weather Conditions. Provided by Solarillion Foundation.

Analyze flight data to identify delay patterns, seasonal trends, and airline performance metrics across US airports.

Intelligent platform for US flight delay prediction using XGBoost, SHAP explainability, K-Means clustering, and RAG with Qwen 3 (Hugging Face). Delivers explained recommendations via FastAPI + Dash dashboard.