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EcoBot RDC – Agent IA multilingue pour la résilience climatique, la reforestation et la paix en RDC avec Elastic + Google Cloud.
Inspiration
In the heart of the Congo, communities face the dual challenge of climate disruption and socio-political instability. As National Coordinator of ADE-CLIMATERRA RDC, I’ve witnessed firsthand how fragmented data and limited access to insights hinder reforestation, agroforestry, and peacebuilding efforts. This inspired EcoBot RDC—a multilingual, conversational AI agent designed to democratize access to climate intelligence and empower local actors.
What it does
Building EcoBot RDC taught us how to:
Combine Elastic’s hybrid search with Google Cloud’s AI stack to deliver fast, relevant, and context-aware responses.
Design for low-connectivity environments using offline-first principles.
Create multilingual interfaces (French, Swahili, English) that adapt to diverse user needs.
Align technical innovation with UNSCAR peacebuilding goals and SCAL-UP 2026 priorities.
How we built it
Frontend: React + Figma for a clean, mobile-first UI.
Backend: Flask + Firebase for real-time interactions.
Search Layer: Elastic Search AI Platform indexing climate datasets (CSV/JSON), policy briefs, and community feedback.
AI Layer: Gemini API + Google Cloud Vertex AI for natural language understanding and agent-based reasoning.
Mapping: Google Maps API to visualize reforestation zones, conflict-sensitive areas, and project impact.
Challenges we ran into
Data fragmentation: Harmonizing local datasets with global standards required custom parsers and Elastic pipelines.
Multilingual NLP: Training models to understand regional dialects and context-specific queries was complex but rewarding.
Security & diplomacy: Navigating visa delays and international coordination added urgency to our timeline—but also deepened our commitment.
Accomplishments that we're proud of
Built a multilingual AI agent (French, Swahili, English) tailored to RDC’s climate and peacebuilding context.
Integrated Elastic’s hybrid search to deliver fast, relevant, and context-aware responses from fragmented climate datasets.
Leveraged Google Cloud AI tools (Vertex AI, Gemini API) to enable intelligent reasoning and adaptive conversations.
Designed for low-connectivity environments, ensuring accessibility for rural communities and field teams.
Mapped reforestation and conflict-sensitive zones using Google Maps API for real-time geo-visualization.
Aligned with UNSCAR and SCAL-UP 2026 goals, bridging climate resilience with diplomatic and institutional impact.
Overcame diplomatic and logistical barriers, ensuring international collaboration despite visa and travel challenges.
Created a scalable framework for future deployment across Central Africa, with open-source potential.
What we learned
Elastic + Google Cloud = powerful synergy: We discovered how Elastic’s hybrid search and Google Cloud’s AI tools can work together to deliver fast, relevant, and context-aware responses—even in low-bandwidth environments.
Multilingual design is essential: Building for French, Swahili, and English taught us how language shapes access to data, and how inclusive design can empower more communities.
Data needs storytelling: Raw climate data becomes actionable when framed through conversational AI. We learned how to turn numbers into narratives that drive decisions.
Agent-based reasoning unlocks impact: By simulating context-aware agents, we enabled EcoBot RDC to suggest planting schedules, grant deadlines, and diplomatic actions—bridging AI with real-world needs.
Resilience is technical and human: From harmonizing fragmented datasets to navigating visa delays, we learned that innovation thrives when tech meets empathy, strategy, and persistence.
What's next for EcoBot RDC: AI Agent for Climate Resilience
Field Deployment in RDC: We plan to pilot EcoBot RDC in Ituri, Sud-Kivu, and Tshopo, empowering local communities and NGOs with real-time climate insights and reforestation guidance.
Institutional Integration: We're working to embed EcoBot into ADE-CLIMATERRA RDC’s operational workflows and align it with national climate strategies and peacebuilding frameworks.
SCAL-UP 2026 Synergy: As part of our partnership with the Forum de Paris sur la Paix, we aim to showcase EcoBot RDC as a flagship innovation for climate diplomacy and digital resilience.
Open Source Expansion: We’ll release core components of EcoBot RDC to the global climate tech community, encouraging adaptation across Sub-Saharan Africa and beyond.
Enhanced AI Capabilities: Next iterations will include voice interaction, offline caching, and deeper reasoning using Gemini API and Elastic’s semantic search.
Funding & Partnerships
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