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Where intelligence meets protection

Your Intelligent Anti-Bullying Guard

miguard is an innovative mobile application designed to combat school bullying and violence through real-time audio monitoring and analysis.

Bullying appears to be widespread in the EU, with more than 50% of students having experienced bullying. *

miguard is an innovative mobile application designed to combat school bullying and violence through real-time audio monitoring and analysis. Utilising the smartphone's microphone, it continuously records ambient sounds, breaking them into 20-second segments. This mobile application not only acts as a preventive tool against bullying but also provides immediate response capabilities, potentially transforming the approach to safety in school environments.

* PISA data on students' feeling and bullying (2021)

How Does it Work?

Core Functionality

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1. Audio Recording & Analysis: 

          â—‹ Utilises the phone's microphone to continuously record ambient sounds.

          â—‹ Recordings are segmented into 20-second chunks for processing.

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2. Speech-to-Text Conversion: 

          â—‹ Converts the audio chunks into text using speech-to-text technology. 

          â—‹ This conversion facilitates the identification of specified keywords.

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3. Keyword Detection:

          â—‹ Users can predefine a set of keywords associated with bullying or violent behaviour.

          â—‹ The system scans each text segment for these keywords.

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4. Alert System:                           

          â—‹ If keywords are detected, the app triggers an alert mechanism.             

          â—‹ It can notify emergency contacts, possibly including parents, teachers, or guardians.

          â—‹ These contacts receive alerts so they can take immediate action.

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5. Data Upload and Server Integration:

          â—‹ Audio recordings can be uploaded to a server for further analysis.                       

          â—‹ This feature supports the use of machine learning to improve keyword detection                     accuracy and expand capabilities.

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6. User Interface (UI):

          â—‹ Displays results of the analysis, indicating which audio chunks contain specified

              keywords.

          â—‹ User-friendly and intuitive, ensuring easy navigation and understanding.

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