Home / Current Issue / Paper 1715470
Empora: A Smart Mobile Application for Entrepreneur Empowerment Using Artificial Intelligence
Subject area: Science,Engineering and Technology · Area of research: Mobile Application Development /AI
Abstract
EMPORA is an AI-powered business advisory platform designed to provide entrepreneurs and small business owners in India with access to expert guidance across ten critical business domains. The platform integrates artificial intelligence through the Groq LLaMA 3.3-70B language model to deliver personalised advisory services covering fundraising, strategic planning, taxation, land and legal matters, licensing and compliance, loans and finance, risk management, project management, cybersecurity, and business restructuring. The mobile application is developed using Flutter for cross-platform compatibility on Android, iOS, and web. The backend services are built using Node.js and Express.js with a RESTful API architecture. MongoDB Atlas is used for cloud-based data storage and management. Razorpay payment gateway is integrated to support secure membership subscription transactions. An admin approval system controls user access to ensure platform quality. The system provides free access to two modules and membership-based access to all ten advisory modules. EMPORA aims to democratise business advisory services by making expert-level AI guidance affordable and accessible to founders and SMEs across India.
Keywords
AI Advisory, Business Platform, Flutter, Groq LLaMA, Mobile Application, Node.js, Razorpay, SME, Startup
References
[1] R. Sharma and A. Gupta, "Challenges Faced by Indian Startups in the Early Growth Phase," International Journal of Entrepreneurship and Innovation Management, vol. 27, no. 3, pp. 215-229, 2023.
[2] M. Rahman and S. Hossain, "AI-Powered Platforms for Small Business Support: A Systematic Review," Journal of Business Technology and Innovation, vol. 15, no. 2, pp. 88-104, 2023.
[3] S. Kumar and R. Patel, "Domain-Specific AI Advisory Systems for SME Decision Making," International Journal of Artificial Intelligence in Business, vol. 6, no. 1, pp. 45-62, 2025.
[4] L. Chen and Y. Wang, "Conversational Memory in Multi-Domain AI Assistants: Impact on User Satisfaction," ACM Transactions on Intelligent Systems, vol. 12, no. 4, pp. 301-318, 2024.
[5] A. Verma and P. Singh, "Fragmentation in Business Advisory Services for Indian SMEs," Journal of Small Business Management India, vol. 8, no. 2, pp. 156-170, 2024.
[6] T. Johnson and K. Lee, "Cross-Platform Mobile Application Development Using Flutter: Architecture and Performance Analysis," IEEE Access, vol. 11, pp. 45678-45692, 2023.
[7] H. Patel and N. Shah, "RESTful API Design Patterns for Scalable Backend Services with Node.js," International Journal of Computer Science and Engineering, vol. 19, no. 1, pp. 23-37, 2024.
[8] B. Gupta and M. Mehta, "MongoDB Atlas for Cloud-Native Application Data Management," Journal of Cloud Computing and Distributed Systems, vol. 5, no. 3, pp. 112-128, 2023.
[9] P. Iyer and S. Krishnan, "Digital Payment Gateway Integration in Mobile Applications: Security and Performance," International Journal of Financial Technology, vol. 4, no. 2, pp. 78-94, 2024.
[10] A. Singh and V. Kumar, "Large Language Models for Domain-Specific Advisory Applications: Capabilities and Limitations," Journal of Artificial Intelligence Research, vol. 78, pp. 1245-1280, 2024.
How to cite this paper
@article{1715470,
author = {S Padmashree, Dr. K. Ponmozhi},
title = {Empora: A Smart Mobile Application for Entrepreneur Empowerment Using Artificial Intelligence},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {9},
pages = {2428-2435},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1715470.pdf},
abstract = {EMPORA is an AI-powered business advisory platform designed to provide entrepreneurs and small business owners in India with access to expert guidance across ten critical business domains. The platform integrates artificial intelligence through the Groq LLaMA 3.3-70B language model to deliver personalised advisory services covering fundraising, strategic planning, taxation, land and legal matters, licensing and compliance, loans and finance, risk management, project management, cybersecurity, and business restructuring. The mobile application is developed using Flutter for cross-platform compatibility on Android, iOS, and web. The backend services are built using Node.js and Express.js with a RESTful API architecture. MongoDB Atlas is used for cloud-based data storage and management. Razorpay payment gateway is integrated to support secure membership subscription transactions. An admin approval system controls user access to ensure platform quality. The system provides free access to two modules and membership-based access to all ten advisory modules. EMPORA aims to democratise business advisory services by making expert-level AI guidance affordable and accessible to founders and SMEs across India.},
keywords = {AI Advisory, Business Platform, Flutter, Groq LLaMA, Mobile Application, Node.js, Razorpay, SME, Startup},
month = {March},
doi = {https://doi.org/10.64388/IREV9I9-1715470}
}