SIH26069 · Ministry of Earth Sciences (MoES)
National Weather Big Data Analytics Platform
💡 Before you commit — think it through
GuidedList the current tools/products/manual methods people use for this. Judges want to see you know the landscape.
What do today's solutions get wrong or miss? That gap is your opening.
Name a real person or place near you affected by this. Plan to talk to them.
One angle no other team would take. This is what wins the pitch.
- Advanced complexity — scope tightly: nail the core, don't over-promise.
The problem
Design and develop a scalable National Weather Big Data Analytics Platform capable of collecting and processing real-time weather-related information for India from multiple internet-based sources including social media platforms, public datasets, websites, APIs, and citizen reports. The platform should automatically collect weather related posts and information tagged with #IMD and other relevant weather hashtags, along with metadata such as date & time, city, state, GPS location, photos, videos, and event category, and store the information in a centralized database. The system should leverage big data technologies and open-source tools to support large-scale real-time data ingestion, processing, storage, and visualization. Participants are encouraged to use machine learning and AI-based techniques to identify fake or misleading reports, verify untrusted sources, remove duplicate entries, and automatically categorize weather events such as rainfall, thunderstorms, flooding, heatwaves, fog, dust storms, and strong winds. Develop a web-based dashboard and Admin Panel for monitoring and analysing collected data with features including: • Date-wise filtering • Event-wise filtering • Location-wise filtering • Verification status tracking • Real-time visualization and analytics