Data Driven Analysis for Startup Investments for Venture Capitalists

Startups are becoming an increasingly appealing investment opportunity for Venture Capital firms and Angel in-vestors. However, in order to make educated judgments, investors must do many rigorous assessments from inception, including be-havioural analysis, Founder's analysis, and product or prototype analysis. Because the success rate of these investments is often less than 10%, a significant amount of effort is spent evaluating the businesses. Predicting which start-ups will eventually thrive is critical for venture capitalists and governments throughout the world, especially at a time when the benefits might be exponential. The background of the founders has a significant impact on the success of early stage enterprises. For a midor late-stage enterprise, however, the capital collected from the seed and series stages is critical. To create comprehensive data-driven suggestions, many machine learning algorithms have been developed and deployed using the founder's data. We created our initiative at a time when the startup environment throughout the world has exploded, with India alone boasting more than 20 unicorn businesses in the previous year. The government has also encouraged young people to create enterprises and enhance job prospects in our country. As a result, the project is particularly significant in addressing the issues faced by venture capitalists and angel investors, as fundraising is the lifeblood of any company in order for it to exist until it starts producing money.