Aarogya Shakti: Non-Intrusive App For Predicting Anemia
Anemia, especially iron deficiency anemia, is a significant health concern among pregnant women, often leading to complications like preterm birth and low birth weight. Conventional diagnostic methods involve invasive blood tests, which are often inaccessible in resource-limited settings. Aarogya Shakti, a mobile application, offers a non-invasive solution by integrating video-based hemoglobin analysis with machine learning. The app analyzes user-reported data, including demographics and dietary habits, to assess anemia risk. Initial results show high sensitivity and specificity, aligning with clinical diagnoses. By providing real-time monitoring and tailored recommendations, the app empowers women and healthcare providers to manage anemia effectively. Aarogya Shakti represents a scalable, user-friendly approach to address maternal healthcare challenges globally.
Authors
- Mukesh Singh (ORCID: https://orcid.org/0000-0001-5753-2700)
- Merajuddin Khan (ORCID: https://orcid.org/0000-0002-0087-0669)
- S. Mishra (ORCID: https://orcid.org/0000-0003-2630-9674)
- Akanksha Mogha
Institutions
- Chaudhary Charan Singh University (IN)
Publication Details
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1109/icbmesh66209.2025.11182208
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00