Startup Idea Validation using Machine Learning
Sudhanshu Kumar1, Bhargav Guirish2, Akshay Umale3, Pramod Ganjewar4
1Sudhanshu Kumar*, Computer Science and Engineering, MIT Academy of Engineering, Pune, India.
2Bhargav Guirish, Computer Science and Engineering, MIT Academy of Engineering, Pune, India.
3Akshay Umale, Computer Science and Engineering, MIT Academy of Engineering, Pune, India.
4Dr. Pramod Ganjewar, Computer Science and Engineering, MIT Academy of Engineering, Pune, India.
Manuscript received on April 11, 2020. | Revised Manuscript received on May 15, 2020. | Manuscript published on June 30, 2020. | PP: 284-288 | Volume-9 Issue-5, June 2020. | Retrieval Number: E9549069520/2020©BEIESP | DOI: 10.35940/ijeat.E9549.069520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: According to experts, 90 out of 100 Startups fail within the first year of their launch. There are several reasons behind that but one of the very first and major reasons is Idea Validation. The Entrepreneurs are so excited about their idea that they forget about this very important step, which fails the Startup. Startup Idea Validation tool provides the entrepreneurs with a roadmap by asking the right questions relevant to their ideas and providing suggestions and improvements based on the inputs provided by the User. We are using Linear Regression and Support Vector Machine to train the machine on the Expert Dataset provided and we conclude the result based on that. With this, we’ll be able to train the machine with an accuracy of up to 99.99%. There are no other tools available so far which can validate a Startup idea automatically. This tool can be a great breakthrough in the field of Startups.
Keywords: Startup; Entrepreneurship; Decision Tree Classifier, Machine Learning, Idea Validation