Apex ai multimodel hybrid chatbot assistant for hybrid online and offline environments
Mageshkumar, M and Sangeetha Radhakrishnan, R (2026) Apex ai multimodel hybrid chatbot assistant for hybrid online and offline environments. APEX AI — MULTI-MODEL HYBRID CHATBOT ASSISTANT FOR HYBRID ONLINE AND OFFLINE ENVIRONMENTS, 10 (4). pp. 638-642. ISSN 2456-9348
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Abstract
APEX AI is a full-stack, multi-model hybrid chatbot assistant designed to deliver intelligent conversational
capabilities in both online and offline environments. Built on a FastAPI backend and a single-page responsive
frontend, the system integrates four large language models — Groq Llama 3.3 70B, Google Gemini Flash 1.5,
Ollama Phi-3, and Ollama TinyLlama — providing seamless automatic switching between cloud-based and
locally hosted inference engines depending on internet availability. The platform supports multimodal inputs
including text, images (via Gemini vision), and file uploads, real-time DuckDuckGo web search, and browser
native voice input. Session state is managed entirely in-memory using Python dictionaries, ensuring zero-database
overhead and rapid deployment. Experimental evaluation confirms sub-500 ms latency for online models and
graceful offline degradation without user-visible interruption, making APEX AI a practical solution for
connectivity-constrained environments.
| Item Type: | Article |
|---|---|
| Subjects: | Computer Applications > Computer Science |
| Domains: | Computer Applications |
| Depositing User: | Mr IR Admin |
| Date Deposited: | 13 May 2026 08:13 |
| Last Modified: | 16 May 2026 10:13 |
| URI: | https://ir.vistas.ac.in/id/eprint/18962 |
