ChatOffi: A Holographic Mesh-Network and Neural-Augmented Communication Protocol for Disaster-Resilient Mobile Messaging
ChatOffi: A Holographic Mesh-Network and Neural-Augmented Communication Protocol for Disaster-Resilient Mobile Messaging 1Ujjwal Bauri, 1Tanmoy Mahato, 1Trisha Jana, 2,3Asim Kuilya 1UG student, Department of Electronics of Communication Engineering Engineering, Haldia Institute of Technology, West Bengal 2Department of Electronics of Communication Engineering Engineering, Haldia Institute of Technology, West Bengal, 3 School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar. ABSTRACT In this paper, we address the inherent vulnerabilities of centralized telecommunications infrastructures that highlight a critical need for disaster-resilient messaging solutions. Modern cellular networks, submarine cables, and fiber-optic backbones frequently suffer from catastrophic single points of failure during natural disasters, power grid collapses, or deliberate network throttling. When these centralized nodes fail, populations are left entirely disconnected during times when resource coordination and emotional support are matters of survival. This paper presents ChatOffi, a highly scalable, dual-layer Android application bridging high-speed cloud-synchronized databases (Firebase) with a decentralized Mobile Ad-Hoc Network (MANET) driven by the Google Nearby Connections API. Beyond standard peer-to-peer routing, ChatOffi introduces a revolutionary "Neural Integration" framework featuring the Google Gemini API (gemini-3.6-flash). This includes an embedded @AI assistant for real-time translations, predictive text, and an innovative "AI Dreamscape" protocol that synthesizes daily asynchronous communications into surreal, cognitive summaries. The system pioneers a holographic, glassmorphic User Experience (UX) augmented by Dynamic Sentiment Theming and Haptic Sentiment feedback, allowing users to intuitively gauge the emotional severity of incoming data through visual and tactile responses. Security and data sovereignty are enforced via AES-256 GCM End-to-End Encryption (E2EE), a Biometric Vault, and a proximity-sensor-driven "Ghost Mode" to prevent physical shoulder-surfing. Furthermore, the inclusion of a camera-based Augmented Reality (AR) Vision Mode demonstrates that military-grade offline networking, advanced sensory interfaces, and generative AI can seamlessly coexist on mobile endpoints without exhausting device memory or battery lifecycles.
Authors
- Ujjwal Bauri
- Trisha Jana
- Tanmoy Mahato
- Asim Kuilya
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-21
- DOI
- https://doi.org/10.5281/zenodo.22038553
- Primary Topic
- Opportunistic and Delay-Tolerant Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00