Description
Bullying Decoder introduces a new standard in student mental health by focusing on early detection and prevention of verbal harm. Using AI to interpret emotional cues within classroom audio feed, it identifies patterns of bullying that would otherwise go unnoticed. The system delivers anonymised, aggregated insights that provide counsellors with meaningful context, enabling earlier referrals and more personalised interventions rather than generic low-impact sessions. This replaces one-size-fits-all counselling with targeted, data-informed support tailored to different age groups and behavioural trends. The impact is significant: reduced bullying incidents, improved student engagement, and healthier emotional environments. By embedding intelligence into existing systems, Bullying Decoder creates a scalable, privacy-first model for proactive wellbeing in schools, redefining how institutions safeguard students.
