Noise Complaints

Description

This feature allows users to see and report noise complaints worldwide. Silencio transforms crowd-sourced data into actionable insights for governmental and city planning use.

File Noise Complaints and help Governments Mitigate Noise Pollution

The Problem We Are Solving

  • Millions of noise complaints are filed every year, there is little to no public record made to address noise complaints effectively.

  • With increased urbanization, noise complaints are multiplying annually.

  • There is no standardized way to file and understand noise complaints. Only a few governments have dedicated hotlines or filing systems. This means that most governments lack the necessary infrastructure to support the filing of noise complaints, understand related trends, and take action. Silencio solves these problems.

User Utility

  • File noise complaints anywhere and at any time.

  • See noise complaint trends in your neighborhood.

Commercial Use

  • Municipalities can access real-time data and historical trends to make informed decisions about urban planning and noise regulations.

In-App View to Track Hyper Local Noise Complaints

How is the Dataset Collected?

Users can effortlessly submit noise complaints through a quick, intuitive form that captures the location (automatically populated via GPS with manual adjustment options), timestamp (automatically set with editing flexibility), and type of noise (from construction to nightlife). They can also rate the severity on a simple scale and add comments.

Conducting a Noise Complaint within the App

Data Commercialization Model

Our data is sold via API calls (visit our website for more information).

Worth Knowing

  • A city such as New York city has over 5,000 noise complaints every day!

  • We will soon enhance our dataset’s coverage and predictive capabilities using AI.

  • Silencio does not automatically alert local authorities when users file noise complaints.

  • Noise complaints are not rewarded with in-app Coins, guaranteeing a high- quality dataset and eliminating conflicts of interest.

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