AI BASED INTUITIVE INTERFACE FOR CLASSIFICATION OF STARTUP'S

Paper Details
Manuscript ID: 2125-0723-7250
Vol.: 1 Issue: 3 Pages: 99-105 Jul - 2025 Subject: Computer Science Language: English
ISSN: 3068-1995 Online ISSN: 3068-109X
Abstract

The Startup Funding App is a cross-platform mobile application developed using Flutter, aimed at bridging the gap between startups and investors. It uses machine learning algorithms to analyse startup data—such as industry type, location, funding history, and team size—to predict success probability and provide personalised recommendations to investors. The app features a user-friendly interface, secure authentication through Firebase, and real-time dashboards for tracking activity and engagement. By combining intelligent matchmaking with accessibility and automation, the app offers a more efficient, transparent, and data-driven approach to startup funding

Keywords
AI Machine Learning Startup Funding Investor-Startup Matching Mobile App Flutter Cross-Platform Predictive Analytics Random Forest Logistic Regression k-Nearest Neighbors Decision Tree Firebase Authentication Real-Time Dashboard Startup Success Prediction Data-Driven Investment Cloud Backend User Authentication Personalized Recommendations Venture Capital Startup Ecosystem Funding Platform
Paper Metrics
  • Views 439
  • Downloads 130
Cite this Article

Dr. Challa Narasimham, Kanipati Sowmya (2025). AI BASED INTUITIVE INTERFACE FOR CLASSIFICATION OF STARTUP'S. International Journal of Technology & Emerging Research (IJTER), 1(3), 99-105

BibTeX
@article{ijter2025212507237250,
  author = {Dr. Challa Narasimham  and Kanipati Sowmya},
  title = {AI BASED INTUITIVE INTERFACE FOR CLASSIFICATION OF STARTUP'S},
  journal = {International Journal of Technology &  Emerging Research },
  year = {2025},
  volume = {1},
  number = {3},
  pages = {99-105},
  issn = {3068-109X},
  url = {https://www.ijter.org/article/212507237250/ai-based-intuitive-interface-for-classification-of-startup-s},
  abstract = {The Startup Funding App is a cross-platform mobile application developed using Flutter, aimed at bridging the gap between startups and investors. It uses machine learning algorithms to analyse startup data—such as industry type, location, funding history, and team size—to predict success probability and provide personalised recommendations to investors. The app features a user-friendly interface, secure authentication through Firebase, and real-time dashboards for tracking activity and engagement. By combining intelligent matchmaking with accessibility and automation, the app offers a more efficient, transparent, and data-driven approach to startup funding},
  keywords = {AI, Machine Learning, Startup Funding, Investor-Startup Matching, Mobile App, Flutter, Cross-Platform, Predictive Analytics, Random Forest, Logistic Regression, k-Nearest Neighbors, Decision Tree, Firebase Authentication, Real-Time Dashboard, Startup Success Prediction, Data-Driven Investment, Cloud Backend, User Authentication, Personalized Recommendations, Venture Capital, Startup Ecosystem, Funding Platform},
  month = {Jul},
}
Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.