• Nikhil Shah
• Krishanraj Darekar
• Ishan Deb
• Dinesh Choudhari
• Dr.Hingoliwala Hyder ali

The growth of the startup ecosystem has created many opportunities for innovation and entrepreneurship. However, many startups fail in their early stages. This often happens because of poor market validation, unrealistic financial planning, lack of understanding of the competition, and no structured feasibility analysis. Traditional validation methods, like expert consultation, business feasibility studies, and market surveys, are time-consuming, costly, and often out of reach for early-stage founders and students. This paper introduces Ideafy, an AI-based startup analysis platform that streamlines the evaluation of business ideas using Google Gemini Generative AI. The system gathers organized startup information from users and produces a detailed multi-page technical report. This report includes market opportunity analysis, financial feasibility assessment, competition evaluation, risk identification, and strategic recommendations. The platform is built on the MERN stack and offers real-time analysis within seconds. It also features a glossary module that explains complex business and technical terms found in the AI-generated report, making it more accessible for non-technical users. Experimental evaluation shows quick response times, system scalability, and high usability, which makes Ideafy a useful decision-support tool for entrepreneurs and students.

Startup Validation, Generative AI, Gemini API, Business Feasibility Analysis, Decision Support System, MERN Stack,AI-based Report Generation, Entrepreneurship Support

"Ideafy – AI Based Startup Analysis Platform", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.c314-c320, February-2026, Available :http://www.jetir.org/papers/JETIR2602246.pdf

"Ideafy – AI Based Startup Analysis Platform", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. ppc314-c320, February-2026, Available at : http://www.jetir.org/papers/JETIR2602246.pdf