Demibolt007/TrashBeta-Data-Driven-Waste-Management-Intelligence-Nigeria-

This project introduces TrashBeta, a data-driven concept designed to transform how waste-related issues are reported, tracked, and resolved. By structuring citizen-generated data into actionable intelligence, the project demonstrates how data can support operational efficiency and service accountability within the waste management ecosystem. # TrashBeta: Data-Driven Waste Management Intelligence (Nigeria) --- ## Project Overview TrashBeta is a data analytics project that examines waste management inefficiencies in Nigeria by transforming citizen-reported issues into structured, actionable insights. Focusing on urban centers such as Lagos, the project highlights how fragmented reporting systems limit operational visibility, reduce accountability, and delay response efforts. This work demonstrates how data can be used to improve service delivery, inform policy decisions, and strengthen communication between citizens and public service providers. --- ## Problem Statement Waste reporting in Nigeria is decentralized across multiple channels, including phone calls, physical visits, and social media. These systems operate independently, resulting in: - Limited visibility into waste accumulation hotspots - No standardized method for tracking issue resolution - Weak performance measurement for waste service providers - Low public trust due to lack of feedback mechanisms The result is a systemic gap between reported issues and actual resolution. --- ## Objective The objective of this project is to evaluate the feasibility of a centralized, data-driven waste reporting system by: - Identifying geographic and operational inefficiencies - Measuring persistence and recurrence of waste issues - Assessing citizen readiness for digital reporting tools - Providing data-backed recommendations for system improvement --- ## Dataset Overview - Total Reports: 301 - Geographic Coverage: 25 Nigerian states - Collection Period: December 19–31, 2025 ### Data Sources - Primary: Google Forms survey - Secondary: Social media mining (Twitter/X, Facebook, news platforms) ### Key Features - Waste Type - Location (State, LGA, Landmark) - Issue Duration - Urgency Level (1–5) - Community Impact - Previous Report History - User Engagement Metrics --- ## Methodology - Data Cleaning and Preparation - Exploratory Dat …