About WasteWise AI

The Problem

In rapidly expanding urban centers like Abuja, waste management agencies rely heavily on reactive cleanup. Collection trucks operate on static routes, entirely unaware of localized overflow crises until severe environmental hazard or public complaint occurs. This leads to inefficient fuel usage, aesthetic degradation of communities, and increased public health risks.

3MTT Learning Application

This MVP serves as a comprehensive capstone applying the core modules from the 3MTT AI/ML learning track:

• Data & Data ManagementManaged local relational data (SQLite) and generated reproducible mock datasets via Spreadsheets & CSV imports for ML validation.
• Beginner Python ProgrammingEmployed Python logic (variables, loops, and SciKit-Learn) in a prototype to clean data and train the initial analytic algorithms.
• Analytics & Machine LearningApplied K-Nearest Neighbors (KNN) algorithms to accurately predict risk scores from real-world features, directly applying core ML concepts.
• Data Analyst WorkflowDesigned the Admin Dashboard simulating an authentic Data Analyst workflow—moving from raw data ingestion to visualization and insight extraction.