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About The Workshop
A 5-day beginner-friendly online workshop focused on the application of Machine Learning and Deep Learning in disaster management. Participants will learn how AI techniques are used for disaster prediction, classification, forecasting, and decision support through theory sessions, hands-on coding, and real-world case studies.
At a Glance
Key Details*
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Dates: January 19th to January 23rd
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Mode: Live online sessions with recordings
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Platform: Google Meet / Zoom
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Duration & Time: 3 Hours per Day | 5 Days | 10:00 AM-1:00PM
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Fully hands-on practical training
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Real-world planning and decision-support use cases
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End-to-end workflow in QGIS
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Program fee: ₹3000/-
Dr. Suja, Professor & Coordinator
A senior academic and translational research leader with over a decade of experience coordinating the Translational Research & Professional Leadership Centre (TPLC).
Her work bridges geospatial technology, climate-resilient urban development, water resources, and capacity building for professionals and institutions.
Arathy Nair, Assistant Professor
Specialist in Machine Learning based hydrological studies and risk assessment using GIS. Her research focuses on developing data driven solutions for floods to support risk informed planning and policy.
Who Can Participate
-UG/PG students
-Research scholars
-Faculty members
-Professionals interested in disaster management and AI
-Beginners in ML/DL are most welcome
Why This Workshop
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Understand basics of ML and DL
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Learn disaster-related data types and preprocessing
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Learn disaster-related data types and preprocessing
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Build simple ML models for prediction and classification
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Get exposure to deep learning and neural networks
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Learn basics of LSTM for time-series forecasting
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Identify research and project opportunities in disaster management
Hands-On Agenda (Day-Wise)
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Day 1: Introduction to Disaster Management and ML basics.
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Day 2: Data preprocessing and basic ML models.
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Day 3: Deep learning fundamentals for disaster applications.
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Day 4: Time-series analysis and LSTM for forecasting.
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Day 5: Case studies, mini projects, and proposal development.
Registration Details
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Standard Fee: ₹2,542 + 18% GST = ₹3,000/-
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GEC Kerala Students (30% Off): ₹1,780 + GST
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GEC Barton Hill Students(50% Off): ₹1,271 + GST
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TPLC & AGSRT (70% Off): ₹763 + GST
Deliverables
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Disaster risk prediction models using ML.
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Satellite image–based damage detection with DL.
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Spatial susceptibility maps for hazard zones.
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End-to-end AI workflow for disaster analysis.
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Certificate and project-ready outputs.
Certificate & Eligibility
Certificates will be awarded to participants with:
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Minimum 80% attendance
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Completion of capstone submission
Issued jointly by: Pragati CoE (AGSRT & TPLC) @ GEC Barton Hill (TVM)