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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68578
Volume:
10 |
10 |
Oct 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Information Technology
Sant. Gadge Baba Amravati University
Department of Information Technology
Sant. Gadge Baba Amravati University
Department of Information Technology
Sant. Gadge Baba Amravati University
Department of Information Technology
Sant. Gadge Baba Amravati University
Department of Information Technology
Sant. Gadge Baba Amravati University
Department of Information Technology
Sant. Gadge Baba Amravati University
Department of Information Technology
Sant. Gadge Baba Amravati University
The rapid growth of artificial intelligence (AI) has created new opportunities for supporting entrepreneurs in identifying suitable government schemes and preparing effective startup proposals. However, entrepreneurs often face difficulties in finding relevant schemes due to the large number of schemes, complex eligibility criteria, and lack of personalized guidance. At the same time, preparing a professional pitch deck and business plan requires significant time, business knowledge, and proper structuring. This review paper presents an AI-Based Startup Scheme Recommendation and Pitch Deck Generator, an integrated platform designed to address these challenges using artificial intelligence, natural language processing (NLP), recommendation techniques, and generative AI. The proposed system analyzes user-provided information such as startup domain, business stage, location, financial requirements, and eligibility-related details to identify and recommend relevant government and private schemes. In addition, the system uses generative AI to assist users in creating structured pitch decks and business plans based on their startup information. The review examines existing research on AI-based recommendation systems, public-service recommenders, pitch deck analysis, generative AI, and automated business planning, while identifying limitations such as lack of personalization, explainability, real-time scheme integration, and domain-specific pitch generation. The study highlight how combining recommendation systems and generative AI is beneficial.
KEYWORDS
The proposed AI-based system provides an integrated platform for government scheme recommendation and startup pitch deck generation. By combining eligibility rules, AI-based matching, and Generative AI, the system can help startup founders identify suitable schemes and prepare structured pitch decks. Future improvements can include real-time scheme updates, multilingual support, document verification, and integration with official government APIs.
V. Deshmukh, M. Deshmukh, S. Tathe, P. Wankhade, and M. F. I. Khandwani, "KALPAVRIKSHA: AI-Powered Personalized Government & Private Schemes Recommender System," 2026 International Conference on AI Applications, 2026.A. A. Mahmood, “Evaluating the impact of AI-based recommendation engines on customer behavior and business profitability,” Pacific Journal of Business Innovation and Strategy, vol. 3, no. 1, pp. 14–28, 2026, doi: 10.70818/pjbis.v03i01.0141.M. Rajpoot, A. Thakur, and S. Kumar, "Government Schemes AI Recommendation System," 2025 International Conference on Artificial Intelligence, 2025.Konstantinidis, I. Magnisalis, and V. Peristeras, “A framework for a public service recommender system based on neuro-symbolic AI,” Applied Sciences, vol. 15, no. 20, Art. no. 11235, 2025, doi: 10.3390/app152011235.G. Bora, M. Ghildiyal, and D. Chopra, "Startup Sphere: An AI-Powered Web Platform for Connecting Startups and Investors Using the MERN Stack," 2026 International Conference on Software Engineering, 2026.Basri, T. Isnaini, S. Achmady, H. Nadhira, and M. Iqbal, "AI and Blockchain Integration in Entrepreneurship-Based Coding Education: Advancing Student Startup Readiness in the Digital Era," Education and Information Technologies, 2026.S. Ashtari, S. Mandegari, A. K. Das, J. K. Allen, and F. Mistree, "Human-AI Collaboration for Social Entrepreneurs: AI-Driven Business Plan Evolution Aligned with SDGs," 2025 International Conference on Artificial Intelligence, 2025.A. S. Chauhan, A. Sharma, and H. Bhatia, "An Automatic Pitch Deck Analyzer," 2024 IEEE Conference, 2024.A. Neumann, Y. Pi, and J. Singh, "Who Controls the Conversation? User Perspectives on Generative AI (LLM) System Prompts," in Proc. CHI Conf. Human Factors in Computing Systems (CHI '26), Barcelona, Spain, Apr. 2026, doi: 10.1145/3772318.3791726.T. Mohanty et al., "Crys Text: A Generative AI Approach for Text-Conditioned Crystal Structure Generation Using LLM," Chem Rxiv, Nov. 2025. doi: 10.26434/chemrxiv-2024-gjhpq-v2.
Publication Date
10/31/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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