A life-saving app changed lives using artificial intelligence

About the case
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


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.
Effortless mood tracking for any travel timezones.
Better patient monitoring with more data.
On-time doctor and psychologist support.

Project Snapshot
CASE STUDIES