InvestorMatch.ai - Where we match funders and founders using AI
Build a production grade ranking and recommendation system using vector db
Objectives
This project will continue the efforts of the previous OSU team to fine-tune the AI matching algorithms by creating a creative test plan that measures the accuracy of the matching results. Your input will get the existing data ingestion pipeline production ready. We are using a vector DB-based algorithm to aid the matching process. You’ll learn to use Open AI, and Vector DB and develop APIs using Python to power the matching algorithm.
Motivations
The ability to access and deploy trillions of dollars of funding only for x% of those seeking funds. Democratizing the funding landscape enables entrepreneurs the ability to change the world, by being financed.
Qualifications
Minimum Qualifications:
Beginning knowledge of using OpenAI and python
Preferred Qualifications:Time using OpenAI and python programming, including APIs
Details
Project Partner:
Alan Kadish
NDA/IPA:NDA/IP Required
Number Groups:2
Project Status:Rejected
Website:www.Investormatch.ai
Keywords:
React Redux Hooks Mongo Express NodeDemocratizing Investing using AIranking and recommendation systemvector dbranking system