A life-saving app changed lives using artificial intelligence

Industry:Healthcare

Category:AI Development, Mobile App Development

A life-saving app changed lives using artificial intelligence

About the case

US-based company with a mission to support people battling depression and suicidal thoughts. They aimed to create a mental health monitoring app that could save lives by early warning detection and alerts with emotional tracking technology. With this vision in mind, we turned their idea into a reality. Our app offers features like journaling, mood tracking, and sleep cycle monitoring to give a complete picture of emotional well-being.

The challenge: Detecting suicidal tendencies accurately

Suicide affects people globally. Due to the diversity and complexity of suicide tendencies, it may be difficult to apply in practical life through an app.

Needed accurate emotional stability indicators.

Irregular entries led to missed patterns.

Untimely patient journal entries for data analysis.

Travel made sleep tracking difficult for patients.

Time zone shifts disrupted mood entries.

Journal entries by patients missed vital insights

The challenge: Detecting suicidal tendencies accurately

Our approach: Suicide risk detection using enhanced AI

AI is used to detect red flags in text or vocal-based journal entries to provide appropriate healthcare AI solutions to individuals at risk of suicide.

Improved accuracy of suicide detection alerts.

Adjusted entries to account for timezone changes.

Linked mood trackers directly with alert systems.

Optimized sleep and emotion tracking for travelers.

Doctors and emergency contacts were notified of red flags.

The measurable impact

2x accuracy in detecting suicidal tendencies.

Real-time alerts saved 35+ high-risk situations.

Effortless mood tracking for any travel timezones.

Better patient monitoring with more data.

On-time doctor and psychologist support.

Using a simple mobile app for mental well-being tracking, they helped people at high suicidal risk get timely support and real-time alerts to those who can help detect early warning signs. hello

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