Ashram Sarthi is a transformative SaaS product designed to support ashrams that care for individuals who are homeless, helpless, abandoned, or critically ill. These ashrams provide refuge and essential support to those in dire need, offering hope and dignity to individuals who are often unidentifiable due to mental or physical conditions.

The app leverages facial recognition technology to solve key challenges faced by ashrams:
1. Resident Registration: Ashram staff can easily register residents by capturing their facial data. This eliminates the need for traditional documentation, which is often unavailable.
2. Daily Attendance: Instead of manually marking attendance, staff can simply take a picture of residents to record their presence. This saves time and ensures accuracy.
3. Medical Record Tracking: Each resident’s Face ID is linked to their medical history. Staff can retrieve a resident’s medical records instantly by taking their picture, enabling better care and treatment.
4. Family Reunification: Data stored in the centralized cloud database is publicly accessible, helping families identify and reconnect with missing relatives.

Why Ashram Sarthi?
• Efficiency: Streamlines operations by automating routine tasks like attendance marking and record retrieval.
• Accessibility: All data is stored securely in the cloud, making it easy for ashrams to access and update from anywhere.
• Compassionate Care: Restores dignity to residents by ensuring they are cared for and identified, even if they are unaware of their own identity.

Ashram Sarthi addresses the unique challenges of managing care for individuals found in unhygienic and critically diseased conditions at public places like railway stations, bus stands, and religious sites.

With Ashram Sarthi, ashram staff (helpmates) are empowered to provide better care, maintain accurate records, and assist in reuniting families, making it a powerful tool for both social impact and operational improvement.

Get your organisation account today: https://www.ashramsarthi.com