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adriens
adriens

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πŸ€– Job seeker agent.ai for Public Services in New-Caledonia

This is a submission for the Agent.ai Challenge: Productivity-Pro Agent (See Details)

❔ What I Built

Currently, the way to find a job in Public Services in New-Caledonia is a classical form:

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But when I come to look for a job this way:

"I'm a full stack developer but also passionate about data-engineering, AI & DEVOPS"

... things get complicated - time consuming 😡 - to find the best possible matches.

🎯 Why I built this agent

I built New-Caledonia Public Services (DRHFPNC) Job Seeker Agent to provide a ready to-use as a service agent that points anyone the best job opportunities according to its skills or aspirations so they find them & apply to them efficiently without having to crawl pdfs and run many "legacy searches".

πŸ”­ Envision and perspectives

  • πŸ—žοΈ Build a Job trends Blog Poster that makes weekly notes on specific skills and related job opportunities
  • πŸ“‘ Custom job recommendation team : a Team that takes in input curriculum/skills from a specific set of sources (curriculum, online linkedIn activity,...) to make dedicated recommendations
  • 🌐 Plug it into a team next to LinkedIn Profile Analyzer
  • πŸ“œ Create an agent that make is possible to put together all the assesments of a given user

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Then it became public :

🍿 End User UX on mobile

Below a demo of the UX from a mobile device:

πŸ”¬ How it's built demo

πŸ’¬ Agent.ai Experience

At first, I watched the video tutorial which took me a very few minutes, then I was ready to go to build the firs version of the agent.

πŸ”¬ How does it work ?

I have developped and scheduled a Kaggle Notebook : βš™ Loader Avis de vacances de poste AVPs DRHFPNC that takes in input an OpenData dataset, performs transformations and as well pushed data into a Github Repo adriens/odata-avps-drhfpnc:

It pushed csv files and the markdown version from initial pdf ones.

For this agent I used the scraping feature of the raw csv file :

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Then i's just about prompting...

🀩 Best agent RUNs

Below some agent analysis that retained my attention:

πŸ’‘ Making the product better : API automation, datasources,...

πŸ“’ Social interactions

API Trace View

Struggling with slow API calls? πŸ•’

Dan Mindru walks through how he used Sentry's new Trace View feature to shave off 22.3 seconds from an API call.

Get a practical walkthrough of how to identify bottlenecks, split tasks into multiple parallel tasks, identify slow AI model calls, and more.

Read more β†’

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