About the TL Digital Waste Monitoring Network
AI-powered waste management system connecting citizens, authorities, and technology to combat waste management challenges in Timor-Leste
Our Mission
The TL Digital Waste Monitoring Network aims to address Timor-Leste's waste management challenges through a network of intelligent agents, community engagement, and data-driven decision-making.
Dili produces over 300 tons of waste daily, with more than 100 tons going uncollected. This waste clogs drainage systems, causing flooding and environmental damage.
Our vision is a cleaner Timor-Leste where communities are empowered to report waste issues, authorities have the data they need to prioritize cleanup efforts, and environmental health improves.
Expected First-Year Impact
How It Works
Citizen Reporting
Citizens use our Flutter-based mobile app to report waste with photos and location data. The app works in low-connectivity environments and uploads reports to our Reporting Agent.
AI-Powered Analysis
Our Analysis Agent processes waste images using ASI-1 Mini to classify waste types, assess severity, and evaluate environmental impact. The system also detects hotspots where multiple waste reports are clustered.
Coordination & Action
The data is used to prioritize cleanup efforts, directing resources to the most critical areas. The system maintains a database of waste issues and their status, tracking progress from report to resolution.
Public Dashboard
Our Next.js web dashboard provides visualizations of waste data, including interactive maps, analytics, and community leaderboards. This creates transparency and helps measure the impact of interventions over time.
Key Features
Interactive Mapping
Visual representation of waste incidents and hotspots across Timor-Leste with detailed filtering and spatial clustering.
AI-Powered Analysis
ASI-1 Mini integration for waste classification, severity assessment, and environmental impact evaluation from report images.
Agent Communication
Fetch.ai's Agentverse platform enables seamless communication between Reporting and Analysis Agents for efficient data processing.
Low-Bandwidth Support
Mobile app optimized for Timor-Leste's connectivity challenges, with efficient image compression.
Our Technology Stack
We leverage cutting-edge technologies to create a robust waste monitoring system
Frequently Asked Questions
Join Us in Making a Difference
Download our app, report waste incidents, and become part of the solution for a cleaner Timor-Leste
Meet Our Team
LAFAEK AI is a dedicated team of innovators working to create technological solutions for challenges in Timor-Leste.
Ajito Nelson Lucio da Costa
Founder & Lead Developer
Passionate about using technology to create positive environmental impact in Timor-Leste through innovative solutions.
LAFAEK AI Team
Our diverse team brings together expertise in software development, environmental science, data analysis, and community engagement to create AI-powered solutions for Timor-Leste's environmental challenges.
Our Repositories
TL Digital Waste Monitoring Network
Main project overview with system architecture, documentation, and integration guides.
TL Waste Monitoring Backend
Backend system with AI agents, API services, and database integration using Fetch.ai SDK.
TL Waste Report App
Mobile application for citizens to report waste issues, built with Flutter for cross-platform compatibility.
TL Waste Dashboard
Web interface for visualization and analysis of waste management data, built with Next.js.
Agents on Agentverse
Our system uses two specialized AI agents registered on the Fetch.ai Agentverse platform
Reporting Agent
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Handles waste reports from citizens, manages image storage on AWS S3, and communicates with the Analysis Agent to trigger waste classification.
View on AgentverseAnalysis Agent
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Processes waste images using ASI-1 Mini's multimodal capabilities to classify waste types, assess severity, and identify potential environmental impacts.
View on Agentverse