ForestGuard
Designing to save our forests from forest fires: Edge Deployment of AI to predict forest fires and fires spread patterns.
TL;DR
Deployed AI models on edge devices to predict forest fires and their spread patterns in real-time — giving responders critical minutes to act before fires escalate.
Overview
Role
Lead Product Designer
Timeline
6 months
Team
2 designers, 4 engineers, 1 PM
The Problem
Placeholder problem statement
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. The existing solution was fragmented across multiple tools, causing friction for end users and increasing error rates in critical workflows.
Research
Understanding the users
Conducted 20+ user interviews, contextual inquiries, and workflow analysis sessions to understand pain points and unmet needs. Key findings shaped our design direction.
Key Insights
Design Process
From wireframes to high-fidelity
Iterated through low-fidelity wireframes, interactive prototypes, and usability testing rounds to validate design decisions before engineering handoff.
The Solution
A unified, accessible interface
The final design consolidated fragmented workflows into a single cohesive interface with real-time data sync, role-based views, and WCAG AA compliance throughout.
Results
Measurable impact
The redesigned product launched successfully and delivered measurable improvements across key metrics.
Reflections
What I learned
This project reinforced the importance of early user involvement, iterative prototyping, and cross-functional collaboration. Placeholder for specific learnings and takeaways from the project.