Insight Finder
Team consisting of Daniela Yamashita (Ampere; PhD; vehicle lateral‑control, C/C++, MATLAB) and Javier Guajardo (Go, TypeScript, React, AWS, LLM integrations; founder, adexa.app).
Project Description
How difficulty is to start a new business in a crowd city as Paris? With Insight Finder, it is easy and efficient thanks to deeply analysis of structured data in Qdrant Collections empowered by Mistral AI.
Using a web front end designed in React, the user can select the geographic area of interesting to start a new business and should provide only the category of the business, such as pharmacy, restaurant or kindergarten. The Insight Finder will detect in the map the potential locations in the city where is the most profitable to start this kind of business.
To make the user aware about the results, periodic repports will be sent by email with the insights of the city.
In the background, Insight Finder App work with taillored AI agents that will work continuously to deliver the best work as possible. One agent will fetch the data in the database and query Mistral LLM with pertinent questions about the selected location, such as “How many school in this area?” or “How many households?”. Another Agent will get the results an summarize into a repport.