Assessfy Social Impact Lab Advanced 6 milestones 100 marks

Community-Centric Urban Flood Early Warning and Response Platform

Theme: Climate Action Type: Social-good / SDG-aligned impact project Tags: SDG 13, Climate Team: up to 4 Assessment: 6 impact-lifecycle milestones (100 marks) Hackathon/AICTE-activity-points eligible

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

6
Milestones
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Available mentors
0
Enrolled students
16
Core skills
About this project

Objective: To empower low-income urban neighborhoods with real-time flood alerts and coordinated community response using open data and low-cost technologies.

Urban flooding poses a significant threat to millions in India’s rapidly growing cities, particularly affecting low-income and informal settlements with inadequate drainage and limited access to timely warnings. Extreme weather events, aggravated by climate change, have increased the frequency and severity of flash floods, leading to displacement, health risks, and property loss. This challenge directly aligns with SDG 13: Climate Action and supports local disaster management authorities.

This project proposes a community-driven digital platform that fuses hyperlocal rainfall and water-logging data from open sources and citizen input, delivering real-time flood risk alerts and mobilizing local response networks. The system will use low-cost IoT sensor data, public rainfall APIs, and a multilingual mobile/web interface to alert residents and connect them to emergency services and volunteers.

Key features include: automated flood risk alerts via SMS/WhatsApp, interactive flood mapping using OpenStreetMap, a crowdsourced incident reporting dashboard, and a community response coordinator module for rapid resource mobilization. The prototype will be piloted in at-risk urban wards, integrating feedback from residents and local NGOs for usability and impact.

Measurable impact includes faster evacuation times, reduced property loss, and improved community preparedness. The open, modular approach enables adaptation and scaling to other vulnerable urban geographies across India via civic organizations, municipal bodies, and disaster response networks.

Milestones
1. Problem & Stakeholder Understanding
10 marks 21d
Conduct field interviews and secondary research to map flood risk, community needs, and key stakeholders; submit findings in a detailed report reviewed by local mentors.
2. Landscape Survey & Open-Data Sourcing
10 marks 18d
Identify and evaluate relevant open datasets, APIs, and existing solutions; present a data and technology landscape document with sample data pipelines.
3. Solution Design & Architecture
15 marks 21d
Develop wireframes, dataflow diagrams, and system architecture, incorporating stakeholder feedback; submit design documents and get approval from academic and NGO advisors.
4. Prototype / Build
30 marks 35d
Build the working prototype with core features (alerting, mapping, reporting); demonstrate functionality in a controlled test reviewed by mentors.
5. Pilot & Impact Measurement
25 marks 35d
Deploy the solution in a target urban ward, gather user feedback, and measure impact indicators such as alert reach and response time; document results in an impact report.
6. Stakeholder Demo & Pitch
10 marks 20d
Present the solution and pilot results to community leaders, NGOs, and technical evaluators; collect feedback and submit a final improvement and scalability plan.
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Skills you'll learn
Social GoodSocial ImpactSDGSustainable DevelopmentCommunityClimate ActionSDG 13ClimateUrban climate risk analysis and stakeholder mappingIntegration of open geospatial and sensor datasetsMobile/web app development for low-resource usersIoT sensor interfacing and real-time data ingestionUX/UI design for multilingualaccessible alertsCommunity engagement and participatory co-designImpact measurement using baseline and post-pilot data
Tools used
OpenStreetMap/Leaflet.js for mappingISRO Bhuvan and data.gov.in rainfall/flood datasetsIndia Meteorological Department public rainfall APIsNode-RED or Arduino for IoT sensor integrationFirebase/Glific for SMS/WhatsApp alertsGoogle Forms or KoboToolbox for crowdsourced reportingOpen Data Kit (ODK) for offline field data collection
Prerequisites
Basic programming (Python/JavaScript preferred)Introduction to geospatial data and GIS conceptsExperience with web/mobile app developmentData analysis and visualization fundamentals
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