Project snapshot
Karuna Nidhan is a mobile solution that harnesses artificial intelligence to help injured stray animals get timely care. By letting users photograph an injured animal, the app evaluates the image and produces a concise Care Profile that explains the injury type, estimates its severity, and recommends immediate first-aid steps. That report is then forwarded to nearby rescue groups and volunteers so animals receive faster assistance.
Operational flow
- The user captures a clear photo of the injured animal.
- The app’s AI analyzes the image and produces a Care Profile describing the injury and suggested emergency measures.
- That profile is dispatched to local NGOs, shelters, and registered volunteers.
- Responders coordinate and track the rescue until the animal is safe.
Highlighted tools and capabilities
- Rapid image-based injury identification and severity assessment
- Instant generation of a Care Profile that lists recommended first-aid actions
- Automated notifications sent to local rescue organizations and nearby volunteers
- Real-time tracking of response efforts so users can follow progress
- Priority alerts for critical or life-threatening cases
- A simple, intuitive interface to encourage broad participation
Ways to get involved
- Take and submit photos when you encounter an injured stray
- Turn on notifications to receive urgent rescue alerts in your area
- Join the volunteer network to respond when help is needed
- Share verified rescue updates to keep the community informed
- Report inaccurate assessments to improve the system’s accuracy
Impact and goals
Karuna Nidhan aims to convert concern into timely action by connecting compassionate citizens with trained responders. The app increases the speed of help for injured animals, supports coordinated rescue efforts, and fosters a community-driven approach to animal welfare.
Technical
Title
Karuna Nidhan
Requirements
- Android
Language
No language has been specified.
Available languages
License
- Free
Latest update
2026-01-23
Author
Altairian
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