Health Chain Sync Android application

Health Chain Sync successfully demonstrates a secure and intelligent digital healthcare management system for both doctors and patients. The application effectively integrates Blockchain technology, SHA-256 hashing, Firebase cloud services, and Artificial Intelligence to ensure secure, transparent, and tamper-proof medical record management. The blockchain-based storage mechanism improves data integrity and prevents unauthorized modification of healthcare records, while Firebase enables efficient real-time data storage and accessibility.   The integration of an AI-powered health assistant using Natural Language Processing and generative AI enhances user experience by helping users understand symptoms, interpret medical reports, and access trusted healthcare information. Additionally, the inclusion of educational health videos and government healthcare scheme information improves healthcare awareness and accessibility for users. Overall, Health Chain Sync provides a reliable, user-friendly, and secure healthcare ecosystem

  1. [1] S. Sai, V. Chamola, K. R. Choo, B. Sikdar, and J. J. Rodrigues, “The Intersection of Blockchain and AI in Secure and Scalable Healthcare Solutions: A Comprehensive Review,” IEEE Internet of Things Journal, 2023.   [2] J. A. Alzubi, O. A. Alzubi, A. Singh, and M. Ramachandran, “Enhancing EHR Privacy with Blockchain-Enabled Federated Learning in Cloud-IIoT Environments,” IEEE Transactions on Industrial Informatics, vol. 19, 2023.   [3] N. Kshetri, J. Hutson, and R. G, “healthAIChain: Improving Security and Safety using Blockchain Technology Applications in AI-Based Healthcare Systems,” 2023.   [4] R. Shinde, S. Patil, K. Kotecha, V. Potdar, G. Selvachandran, and A. Abraham, “Securing AI-based Healthcare Systems using Blockchain Technology: A Systematic Literature Review,” 2022.   [5] O. Simonoski and D. Capeska Bogatinoska, “Block MedCare: Advancing Healthcare through Blockchain Integration with AI and IoT,” 2024.   [6] U. Safdar and S. Gabrael, “The Integration of Blockchain and Artificial Intelligence for Secure Healthcare Systems,” 2025.   [7] R. Myrzashova, S. H. Alsamhi, A. V. Shvetsov, A. Hawbani, and X. Wei, “A Systematic Review of Blockchain and Federated Learning Convergence in Healthcare: Challenges and Opportunities,” IEEE Internet of Things Journal, 2023.   [8] T. Hai, J. Zhou, S. R. Srividhya, S. Jain, P. Young, and S. Agrawal, “BVFLEMR: A Blockchain-Federated Learning Framework for Cloud-Based Medical Record Recommendation,” 2022.   [9] M. Javaid, A. Haleem, R. Singh, and R. Suman, “A Holistic Review of Cybersecurity Advancements in Healthcare and Emerging Trends,” Cyber Security and Applications, vol. 1, 2023. [10] M. H. Tania and D. A. Clifton, “Revolutionizing Fragmented Digital Healthcare Systems through Federated Learning,” in Proc. SKIMA Conference, 2023.