This is a submission for the Agent.ai Challenge: Productivity-Pro Agent (See Details)
β What I Built
Currently, the way to find a job in Public Services in New-Caledonia is a classical form:
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 π΅ - to find the best possible matches.
π― 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".
π Envision and perspectives
-
ποΈ Build a
Job trends
Blog Poster that makes weekly notes on specific skills and related job opportunities - π 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
- π Plug it into a team next to LinkedIn Profile Analyzer
- π Create an agent that make is possible to put together all the assesments of a given user
Then it became public :
πΏ End User UX on mobile
Below a demo of the UX from a mobile device:
π¬ How it's built demo
π¬ 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.
π¬ How does it work ?
I have developped and scheduled a Kaggle Notebook : β 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 :
Then i's just about prompting...
π€© Best agent RUNs
Below some agent analysis that retained my attention:
- "I'm a full stack developer but also passionated about dataengineering, ai & DEVOPS"
- "je suis dans le domaine mΓ©dical"
- "Je cherche un emploi dans la comptabilitΓ©"
- "je suis dans le domaine mΓ©dical"
π‘ Making the product better : API automation, datasources,...
π’ Social interactions
Top comments (6)
Congrats to the Agent.ai Challenge Winners!
dev.to staff for The DEV Team γ» Jan 30