Ai Startup Idea Validator Using Ml And Llm Agents

Durgunala Ranjith; K.Hari Krishna; K.Rajender; R.Koti

Ai Startup Idea Validator Using Ml And Llm Agents

Author : Durgunala Ranjith, K.Hari Krishna, K.Rajender, R.Koti Journa Name: International Journal of Scientific Research & Engineering Trends Volume: 12 issue: 2 Year: Volume-12-issue-2 Views : 213

Abstract:

The project proposes an AI Startup Idea Validator that helps users evaluate startup ideas automatically using Artificial Intelligence and Large Language Models (LLMs). The system allows users to input their startup ideas through a web interface and analyzes them by considering factors such as market potential, competition, feasibility, and innovation. It uses AI-based processing to generate outputs including feasibility score, SWOT analysis, and improvement suggestions, providing users with clear insights into the strengths and weaknesses of their ideas. The system integrates external data sources and intelligent models to ensure accurate and data-driven decision-making. It is designed to be fast, cost-effective, and user- friendly, making it suitable for students, entrepreneurs, and startup incubators.