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International Journal of Science, Strategic Management and Technology

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ISSN: 3108-1762 (Online)
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JANSATHI: AI CO-PILOT FOR GOVERNMENT ACCESS & HEALTH LITERACY

AUTHORS:
Eshwar Vengala
Rohith Vellampally
Aravind Medi
Gowri Shankar Peram
Mentor
Sravani Chintha
Affiliation
Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

Millions of people in Indias tribal and marginalized communities still have a hard time getting help from government schemes getting important documents and finding health information.The problem is that there are languages spoken not many people know how to use digital tools and there is no one to help them. This makes it difficult for them to get the benefits they are supposed to get and medical help when they need it. JanSathi is trying to solve these problems with a platform that uses artificial intelligence to make public services easier to access and health information more understandable. The platform has features. One of them is Photo-to-Form AI.This feature can automatically take information from photos of documents and fill in the details. The platform also has a chatbot that can talk in Indian languages.This chatbot can answer questions. Provide information.There is also a Scheme Finder. This tool can suggest government schemes that a person might be eligible for based on where they live and what they need. For people who need help JanSathi provides step-by-step guidance with pictures. It also connects them with volunteers who can assist them in person.This way no one is left behind. JanSathi is making sure that everyone, those in rural and marginalized communities can access the services they need. The platform is working to include everyone in the benefits and support they are supposed to get. JanSathi is also trying to make health information more accessible to everyone.The goal is to make a change in the lives of millions of people, in india In the healthcare field JanSathi Med Aware makes taking medicine safer and easier to understand. It does this by letting users scan the strips on their medicine or the barcodes to see if they are real check when they expire and get instructions on how to take them in a language they can understand. The system can even read prescriptions that are written by hand warn users if they are taking medicines that do not mix well or if they are taking much and help them find good hospitals near them. JanSathi Med Aware also helps the people who take care of patients and healthcare workers talk to each other better by sending them warnings about patients who need attention. JanSathi Med Aware uses computers to automate tasks provides help that users can listen to and brings people together to support each other. This helps

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Vengala, E., Vellampally, R., Medi, A. & Peram, G. S. (2026). Jansathi: AI Co-Pilot for Government Access & Health Literacy. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.399

Vengala, Eshwar, et al.. "Jansathi: AI Co-Pilot for Government Access & Health Literacy." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.399.

Vengala, Eshwar,Rohith Vellampally,Aravind Medi, and Gowri Peram. "Jansathi: AI Co-Pilot for Government Access & Health Literacy." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.399.

References
1.Gupta, A., & Ranjan, P. (2023). AI-Driven Document Processing for e-Governance Applications using OCR and NLP. International Journal of Advanced Computer Science and Applications, 14(2).https://doi.org/10.14569/IJACSA.2023.014022 3Conference on Computing and Sustainable Societies  (COMPASS).https://doi.org/10.1145/3569023.3569031

2.Sharma, S., Kumar, V., & Singh, A. (2022). A Multilingual Voice Assistant Framework for Rural Governance Support in India. International Conference on Machine Learning and Data https://doi.org/10.1109/ICMLDE56245.2022.00 045

3.Patel, , & Gupta, M. (2021). Intelligent Scheme Recommendation System for Public Welfare Using Machine Learning. International Research Journal of Engineering and Technology, 8(6). https://doi.org/10.13140/RG.2.2.25875.27684

4.Reddy, K., & Nanduri, P. (2023). Deep Learning- Based OCR for Handwritten Indian Documents. IEEE 2023 International Conference on Inventive Computation Technologies                 (ICICT). https://doi.org/10.1109/ICICT57427.2023.1012 3489

5.Banerjee, , & Rao, S. (2021). A Mobile Medical Decision Support System for     Prescription Interpretation Using   OCR and             NLP.    IEEE International     Conference              on        Healthcare Informatics. https://doi.org/10.1109/ICHI52183.2021.00064

6.Joshi, A., Sundaram, P., & Pillai, R. (2022). Counterfeit Medicine Detection using Barcode and Image-Based Analysis. Journal of Medical Systems, 46(5).https://doi.org/10.1007/s10916-022-01815-3

7.Anil, , & Thomas, J. (2020). AI-Assisted Healthcare Support for        Low-Resource Communities. Proceedings of the 2020 IEEE International Symposium on Technology and Society. https://doi.org/10.1109/ISTAS50296.2020.946     2174

8.Kumar, , & Mehta, R. (2024). Enhancing Rural Service Accessibility Using AI-Enabled Chatbots in Multilingual Environments. Journal of e- Government Studies, 12(1). https://doi.org/10.18844/egov.v12i1.8974

9.Singh, P., & Varma, D. (2023). Secure Storage and Processing of Citizen Documents in Cloud- Based e-Governance Systems. International Journal of Cloud Computing, 11(3). https://doi.org/10.1504/IJCC.2023.10050212

10.Chakraborty, , & Ahuja, N. (2022). AI for Social Good: Using Machine Learning to Bridge Literacy Gaps in Developing Countries. ACM
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