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The Waste Nobody Planned For: Building Industrial Waste Intelligence

Bharat Builds | Environmental Hacks | Track 03: Waste and Energy

A factory, a facility, and a map with a hole in it

Picture an industrial area. One factory produces hazardous waste. A suitable treatment facility is far away, while another nearby facility may not have enough compatible capacity. The factory's annual report is missing, and the regulator has incomplete information to determine whether the region needs additional infrastructure or better reporting.
This is how a potential infrastructure gap can become difficult to identify. Incomplete reporting creates a data gap, and that data gap can hide potential infrastructure gaps. When suitable waste-management pathways are difficult to identify, waste recovery and treatment planning become more challenging, with potential consequences for the environment and nearby communities.
Official documents from the Central Pollution Control Board (CPCB) establish that reporting and monitoring challenges have existed. Its historical monitoring report on hazardous-waste management identifies shortcomings in annual-return reporting and monitoring. CPCB's National Inventory on Generation and Management of Hazardous and Other Wastes for 2022–23 also discusses inventory verification and reporting timelines. These are documented historical issues, not evidence that every factory currently fails to report.
Andhra Pradesh already has regulatory systems such as the Online Consent Management & Monitoring System (OCMMS), and existing waste-management platforms serve important purposes. Our project does not aim to replace them. Instead, we explore how geographic analysis, reporting-status prioritization, facility-capacity insights, and infrastructure scenario planning can help turn relevant information into more actionable decisions.

What I built

Industrial Waste Intelligence is a map-based industrial waste intelligence and coordination platform designed primarily for government planners, with factories and waste-management facilities as participating users and nearby communities as potential long-term beneficiaries.

For government

  • Interactive waste map: Displays simulated factories and waste-management facilities geographically, with map filters, search, and entity details to help officers explore industrial clusters and facility information.
  • Infrastructure-gap intelligence: Compares estimated industrial waste demand with compatible waste-management facility capacity within a configurable distance. It highlights clusters with low modelled coverage and identifies waste streams with potential capacity gaps. These results are signals for investigation, not proof that a new facility is required.
  • Compliance and inspection prioritization: Ranks factory records using reporting status, factory size, hazardous-waste share, and surrounding infrastructure coverage. Officers can filter records, review priority scores, use the reminder workflow, and export records as CSV.
  • Missing-report estimation: Estimates waste generation for factories with missing reports using averages from similar industries and factory sizes. This helps demonstrate how incomplete reporting can affect infrastructure analysis. Estimates require validation against official records.
  • Add-a-facility scenario planning: Lets officers simulate a proposed facility by choosing its type, accepted waste streams, capacity, and location. The dashboard compares modelled coverage before and after the proposed addition to explore its potential effect on infrastructure gaps.



For factories

  • Waste-facility discovery and requests: Factories can explore compatible waste-management facilities and send requests for waste handling or recovery. This demonstrates how waste generators could discover suitable options instead of relying solely on manual searches and separate contacts.


For waste-management facilities

  • Facility-side request management: Facilities can review potential waste sources and incoming requests, then accept or reject requests through the prototype workflow.

The link between them

The platform demonstrates how reporting information, factory locations, waste compatibility, and facility capacity can contribute to a shared view of the industrial waste ecosystem. Factory-to-facility requests demonstrate a possible coordination workflow, while government tools focus on reporting follow-up and infrastructure planning.
The current prototype does not establish a verified chain of physical waste collection, transport, and processing. Accepted requests are not proof that waste has actually been transferred or recycled.

How we used AWS

Our application is built with React, TypeScript, and Vite, with Leaflet for interactive mapping.
AWS service used: AWS Amplify Hosting
We deployed the frontend application using AWS Amplify Hosting, making the prototype accessible through a public URL. Amplify hosts the built web application so that judges and other users can explore it in a browser without running the project locally.
The present version does not directly use a separate AWS open-source framework or tool. Its main technologies are React, TypeScript, Vite, and Leaflet. AWS Amplify is the hosting service, not an AWS open-source tool.

What challenged me



1. Turning a map into a planning tool

A map can show where factories and facilities are located, but location alone does not tell us whether a facility can handle a particular waste stream. Our infrastructure analysis therefore considers estimated demand, compatible facility capacity, and distance. The resulting coverage figures are modelled indicators that need validation before they can support real-world decisions.

2. Designing for different stakeholders

Government officers, factories, and waste-management facilities have different needs. We developed separate dashboard experiences to demonstrate these workflows, from reviewing potential infrastructure gaps to discovering facilities and responding to waste-handling requests.

What I learned

  • The value lies in connecting information. Factory reporting, facility capacity, geographic location, and waste compatibility become more useful when considered together.
  • Estimates must not be confused with evidence. A low coverage score can help identify an area for investigation, but it cannot independently prove a shortage or environmental violation.
  • Cloud deployment makes a prototype accessible. Using AWS Amplify Hosting helped make our frontend available through a public URL for demonstration and evaluation.

What's next

The next stage would focus on:
  • Authorized integration with relevant government reporting and regulatory systems.
  • Secure shared data storage and authentication.
  • Verified reporting, transport, and processing records.
  • Stronger waste-compatibility matching and facility-capacity analytics.
  • Validation of infrastructure-gap estimates against official data.
  • Measurable environmental-impact evaluation through a pilot.
A real deployment would require verified data, authorized integrations, stakeholder participation, and evaluation before its findings could be used for operational decisions.

Try it

Built for Bharat Builds | Environmental Hacks | Track 03: Waste and Energy.
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