1. Ideas to Impact Challenge (i2I) 2024-25
Name of the Team: Elite Analysts
i2I Application Number: i2I2024W0076
Proposed Idea: A smart urban flood
management system integrating IoT, geospatial
analysis, and machine learning for real-time
monitoring and predictive flood prevention
2. Team composition
ARUNA A
Team Lead Team Member Team Member
JAHAGANAPATHI S
Kongu Engineering College
(III - CSE)
Expertise in ML, DL, IOT
AMUDHAVAN M
Kongu Engineering College
(III - CSE)
Expertise in ML, DL
Dr. MALLIGA S
Faculty mentor
ANBARASAN T
Team Member
Kongu Engineering College
(III - CSE)
Expertise in AI, ML
Kongu Engineering College
(III - CSE)
Expertise in AI, ML
Kongu Engineering College
(Professor, CSE Dept.)
Expertise in ML, DL, IOT
3. Introduction - Problem statement
🔴 Urban Flooding: A Growing Challenge
Rapid urbanization & climate change increase flood risks
Impermeable surfaces reduce water absorption, causing
excess runoff
Poor drainage, waste mismanagement, & encroachments
worsen the issue
🔴 Impact of Urban Flooding
Economic losses – Infrastructure damage, business
disruptions
Transport & services affected – Roads, power,
healthcare
Health hazards – Waterborne diseases, sanitation
issues
🔴Our Tech-Driven Solution
Digital Elevation Models (DEM) for terrain analysis
IoT-based drainage monitoring for real-time alerts
Machine Learning for flood prediction & risk mitigation
🔴 SDG Alignment
SDG 11 – Sustainable Cities & Communities
SDG 13 – Climate Action
SDG 6 – Clean Water & Sanitation
🔴 Case Studies: Chennai, Bengaluru, Mumbai
Chennai (2015) – 300+ deaths, 20,000 crores in
₹
damages
Bengaluru (2022) – IT corridors submerged, economic
loss of 225 crores
₹
Mumbai (2023) – 1000+ homes flooded, transport
paralyzed
🔴 Why We Need an Immediate Solution?
Unchecked urban expansion is making floods
worse
Lack of real-time monitoring increases disaster
response time
Climate models predict flood frequency will rise
by 30% in India by 2050
4. Details of the proposed solution
📍 DEM & GIS Mapping
Assesses elevation levels, drainage density, proximity
to water bodies
Helps authorities identify poor drainage areas & high-
risk zones
📍 IoT-Based Drainage Monitoring
Deploys ultrasonic/float sensors in drainage
systems
Provides real-time water level data & blockage
detection
Sends data to centralized monitoring systems for
quick response
📍 Machine Learning for Flood Risk Prediction
Uses Random Forest, SVM, and Boosted Regression
Trees (BRT)
Analyzes historical flood data, rainfall patterns &
infrastructure conditions
Helps authorities implement proactive flood mitigation
measures
📍 Community Engagement
Mobile app allows citizens to report flooding,
blocked drains & high water levels
Improves situational awareness & response
efficiency
📌 How is This Solution Different?
Proactive flood risk mitigation using technology
Real-time data monitoring for drainage systems
Community-driven reporting system for better response
6. Project and budget planning
Milestones Activities Timeline Budget required Deliverables
Phase 1: Research &
Data Collection
Study historical flood patterns,
identify key flood-prone areas, collect
satellite & weather data
2 Months
₹30,000 (Data
acquisition,
software tools)
Research report,
annotated dataset
Phase 2: Model
Development &
Prototyping
Develop AI model for flood
prediction, integrate real-time weather
data, build GIS-based visualization,
deploy IoT sensors for real-time flood
monitoring, integrate IoT data with AI
model for enhanced predictions
2 Months
₹10,000 (Model
training, cloud
computing, IoT
sensors)
AI-based flood
prediction model,
GIS interface, IoT-
enabled flood
monitoring
prototype
Phase 3: Testing &
Optimization
Validate model accuracy with real-
time flood data, optimize predictive
capabilities, reduce false alarms
1 Month -
Optimized model,
validation report
Phase 4:
Deployment & Final
Presentation
Deploy system for real-time
monitoring, integrate with early
warning systems (SMS, app alerts),
finalize report
1 Month
-
Final system,
project presentation
7. Impact metrics
Environmental Impact
Improved water absorption & reduced surface runoff
Conservation of urban wetlands & floodplains
Minimized flood-related water pollution, protecting
freshwater sources
Enhanced urban drainage efficiency for sustainable
water management
Reduced strain on existing drainage systems,
preventing overflow & contamination
Supports climate resilience by mitigating extreme
weather impacts
Social Impact
Early warnings & real-time insights, improving
public safety
Reduced casualties & property damage in flood-
prone areas
Enhanced urban infrastructure resilience for
uninterrupted transportation & services
Reduced economic losses & safeguarded
livelihoods
Increased community awareness & engagement
in flood risk management
Faster emergency response through IoT-based
monitoring & citizen reporting
How is This Different?
Predictive & preventive flood management vs. conventional reactive methods
Technology-driven approach using IoT, GIS, and ML for cost-effective solutions
Combines real-time monitoring with historical data analysis for better decision-making
Proactive planning reduces long-term costs of flood recovery & infrastructure damage
8. Market identification
Who Are Your Customers?
Government Agencies & Municipal Corporations :
For smart city flood mitigation.
Real Estate Developers & Housing Societies : To
assess flood risks and protect properties.
Urban Planning & Infrastructure Firms : For
predictive flood risk analysis.
Insurance Companies & Financial Institutions : To
assess flood risks for coverage.
Research Institutions & Climate Organizations : For
environmental resilience studies.
Key Steps for Commercialization
AI & System Development : Enhance flood
prediction accuracy with ML & GIS.
IoT Sensor Mass Production : Partner with
manufacturers for cost-effective sensors.
Regulatory Approvals & Compliance : Work with
government bodies for certification.
Pilot Testing & Implementation : Deploy in flood-
prone areas & refine the system.
Business Model & Monetization : Offer SaaS,
consulting, and hardware-software bundles.
Key Partnerships Required
IoT Manufacturers – To produce and distribute sensors.
GIS & Cloud Providers – For real-time mapping & data analytics.
Urban Planners & Regulators – To integrate with city infrastructure.
9. Related policies and programs
Government Policies That Support Implementation
Smart Cities Mission : Tech-driven urban flood
monitoring.
Atal Mission for Rejuvenation and Urban
Transformation (AMRUT) : Urban drainage
improvement & waterlogging reduction.
National Disaster Management Plan (NDMP) : Early
warning & flood risk mitigation.
National Hydrology Project (NHP) : Real-time flood
monitoring & data analytics.
Digital India Initiative: Supports IoT and AI-based
flood prediction systems for better disaster management.
Government Challenges & Regulatory Barriers
Bureaucratic Delays : Lengthy municipal approval
processes.
Limited Funding : Municipal budgets may favor
traditional flood control.
Data Privacy Regulations : Compliance with real-
time surveillance laws.
Environmental Clearances – Need approvals from
agencies like the Ministry of Environment, Forest,
and Climate Change (MoEFCC) for large-scale
water infrastructure projects.
Regulatory & Approval Process
Central Water Commission (CWC) & State Water Resource Departments – Hydrological monitoring approvals.
Ministry of Housing and Urban Affairs (MoHUA) – Compliance with urban drainage policies.
National Disaster Management Authority (NDMA) – Integration with disaster response frameworks.
Telecom Regulatory Authority of India (TRAI) – Network compliance for IoT sensor connectivity.
10. Conclusion
Why Should Our Team Be Considered?
Innovative & Technology-Driven : Integrating
DEM, IoT, & ML for urban flood management.
Multidisciplinary Expertise : Strong foundation in
data science, IoT, & urban planning.
Impact-Driven Approach : Solution aligns with
national & global sustainability goals.
What We Expect from This Competition?
Mentorship & Industry Exposure : Expert
guidance to enhance our solution.
Funding & Networking : Connect with municipal
bodies and investors.
Technical Support : Assistance for real-world
implementation.
Future Plan After i2I Contest
Pilot Testing in Flood-Prone Areas : Validate
solution effectiveness.
Collaboration with Govt. Initiatives : Leverage
AMRUT & Smart Cities Mission.
Integration into Urban Infrastructure : Partner
with municipalities for large-scale deployment.
Funding Strategy for Pilot Testing
Government Grants : Apply for DST, AIM &
innovation programs.
Private & Public Partnerships : Collaborate with
municipal bodies & industry stakeholders.
Impact Investments & Crowdfunding : Secure
funding from VCs & community-driven support.
With the right support, our solution can significantly improve urban flood resilience. We are excited to
take this project to the next level!
