International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | IntelliStart: AI-Driven Startup Idea Validation and Market Feasibility System |
|---|---|
| ABSTRACT | Startups often fail because their ideas are not validated properly before launch. This paper presents IntelliStart, an AI-powered bot designed to evaluate startup ideas in a structured, transparent, and data-driven way. The system uses natural language processing, trend analysis, competitor mapping, and scoring algorithms to assess idea originality, market demand, competition, revenue potential, and technical feasibility. It integrates external data sources such as Google Trends and Crunchbase to generate real-time validation reports and SWOT analysis. The research explores the architecture, implementation, and expected impact of such a system on entrepreneurship and innovation. The tool aims to reduce the risk of startup failure by helping founders make informed decisions. The paper also highlights its usefulness for students, academic incubators, and early-stage entrepreneurs who lack access to professional consultancy services. |
| AUTHOR | ALVIN RAM CHANDRA PRAJAPATI, DR.D.WILLIAM ALBERT |
| PUBLICATION DATE | 2025-10-18 |
| VOLUME | 175 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1310014 |
| pdf/14_IntelliStart AI-Driven Startup Idea Validation and Market Feasibility.pdf | |
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