A RESTful API to access weather data from the India Meteorological Department.
Energy measurement framework for Mobile Apps
Analysis of the projected changes of the Indian summer monsoon using 32 CMIP6 models
Analyse des précipitations, de la mousson et des inondations au Kerala, avec statistiques reproductibles et visualisations interactives.
A supervised Learning approach to find the trends on which the monsoon rainfall depends and its prediction.
Weather Showing Project is a simple and responsive web application that displays real-time weather information for any city. It shows temperature, humidity, wind speed, and conditions using a clean interface and live API data, helping users quickly check current weather in an easy and reliable way.
A continuous, absolute-dated, 150,000-year record of monsoon hydroclimate dynamics from a permanent lagoon in the core monsoon region of northern Australia, compared to global circulation model hindcasts
Restaurant Food Ordering Chatbot: An AI-driven assistant for your e-commerce site to streamline food ordering. Built with Node.js, Express.js, and Mongoose, it handles menu navigation, order placement, status tracking, and general inquiries, enhancing user engagement and automating customer support.
MAUSAM — AI-powered persona-adaptive weather homepage for the MAUSAM mobile app. SIH26076 | MoES / India Meteorological Department. Full-stack: Express backend + vanilla JS frontend, 8 personas, live weather/AQI/marine, Comfort Index, 80 tests.
Comprehensive 51-year daily meteorological dataset (1975–2026) covering 5 synoptic stations across the Republic of Maldives. Sourced from the Maldives Meteorological Service with cleaning pipelines and EDA.
पाऊस · Hyperlocal Mumbai 0–2h rain nowcast. Calibrated free forecasts, public scoreboard vs METAR VABB. $0 to run.
Monsoons & Air Quality in Seoul, South Korea
Python program used to get power readings via the Monsoon HV Power Monitor
Code to reproduce Kinsella & Mahadevan (2026), J. Climate, doi:10.1175/JCLI-D-26-0118.1
How do floods happen? An interactive, open-source explainer. Glassbox No. 105.
How do droughts happen? An interactive, open-source explainer. Glassbox No. 106.
Research code for QRF calibration of sub-seasonal Indian summer monsoon rainfall forecasts.
Code to extract annual drought features from daily drought indices
The Climate Dynamics Lab at IIT Delhi studies the Indian monsoon and its response to climate change. Using high-resolution modeling, observational data, and machine learning, we investigate monsoon variability, extreme events, and long-term trends to improve prediction and support regional climate resilience.
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