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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: February 2026
Volume 11 | Issue 2
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 117
Article Submitted : 21303
Article Published : 8476
Total Authors : 22301
Total Reviewer : 802
Total Countries : 156
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| Paper Title: | Echo: A Voice and Text-Driven Framework for Automated Mobile Application Development Using Large Language Models |
| Authors Name: | Harish V , Ramakrishna Reddy Badveli , Biruduraju Aditya Vardan Raju , Laxmikant , Nandish Gowda C |
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IJRTI_208272
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| Published Paper Id: | IJRTI2512027 |
| Published In: | Volume 10 Issue 12, December-2025 |
| DOI: | |
| Abstract: | The rise of Large Language Models (LLMs) has significantly transformed software engineering by automating and accelerating the processes of application design, development, and deployment. This study presents Echo, a conversational framework that converts voice- and text-based user requirements into production-ready mobile applications. Unlike traditional no- code platforms, Echo generates industry-standard React Native source code, enabling seamless cross-platform deployment on both Android and iOS from a unified code base. The system inte- grates multimodal input processing, iterative intent clarification, structured specification generation, and autonomous build orchestration. Experimental evaluation shows that Echo drastically reduces the overall application development lifecycle compared to conventional workflows while achieving high intent resolution accuracy even under noisy acoustic conditions. Moreover, the framework preserves the complete developer control over the generated source code, ensuring flexibility, transparency, and extensibility. |
| Keywords: | Large language models, AI-driven program- ming, mobile application generation, natural language interfaces, automated deployment, voice-controlled development, agentic systems |
| Cite Article: | "Echo: A Voice and Text-Driven Framework for Automated Mobile Application Development Using Large Language Models", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.a205-a211, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512027.pdf |
| Downloads: | 000181 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2512027
Registration ID:208272
Published In: Volume 10 Issue 12, December-2025
DOI (Digital Object Identifier):
Page No: a205-a211 Country: Bangalore, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2512027 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2512027 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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