News Monitoring agent
Automatic matching of members of community based on their profile and activity (data : Member profiles: sector, activity, bio, location, arrival date) techno : N8N
Project Description
The aim of our project was to build in different ways an ai pipe monitoring news based on the company name and the industry/sector of the company. We implemented four flows to do so : one in N8N using SerpAPI tool (exported on github in JSON) and one in typescript using perplexity tool and Two others that are gonna be specified soon. We store the result in a supabase DB. The UI was implemnted on Lovable.
We didn’t have time to fully aggregate everything, but in the end we should have the input prompt of the user and all the four flows running and storing the data in the DB, then an LLM would aggregate the 4 reports obtained into one summary to have the best news report ever.
Then we should adda scheduler to get this report every days in our emails.