We attempted Challenge 1: Predictive Analytics https://www.buildwithai.com/
Team Representative: Nitin Malik, Gurgaon, India
Team Members: Nayonika Chakraborty, Meghana Kota, Anand Mayangankar
Mentors from Oracle: Vikram Batchu, Betul O'Reilly
Problem Statement: Not everyone is interested in 9-5 job. Those who have entrepreneurship mindset would like to start up their own companies and be their own boss. But majority of them are skeptical to take first step as they are not confident of their competencies and skills.
Existing Alternatives: Try to be an entrepreneur, if succeed it's good, otherwise do regular job
Proposed Solution: Using Machine Learning classifiers to predict the entrepreneurial competency in University students
Key metrics: Accuracy since classes are largely balanced
Target Customer: University students
Customer Pain: Not able to decide whether they should pursue entrepreneurship
Customer Gain: They will be able to take a call to pursue entrepreneurship or not if they opted for our solution
Unique value Proposition: One-stop solution. Just need to fill the details about their competencies
Revenue Model: Charging for the services and the detailed feedback offered to the customers
Data collected from 198 Indian university students in 2019 by Utkarsh Sharma and Naman Manchanda. Data Source: https://ieeexplore.ieee.org/abstract/document/9058292
The python code and the data file is on github.
The video is available at Youtube
The participation badge is available at [badgr.com] (https://au.badgr.com/public/assertions/BK9jw0jIR0WdS5f4sFoicw)