Author Topic: Post-retirement project: An AI career coaching chatbot  (Read 1617 times)

coach_ann

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Post-retirement project: An AI career coaching chatbot
« on: November 24, 2018, 10:37:14 AM »
I am an AI researcher turned early-retired career coach, and I thought the forum would be a great place to get some feedback on my passion project, since most here are as life-design obsessed as me :).  Synthesizing from my experience coaching people one-on-one, I created a chatbot to help people get unstuck in their careers and take steps to explore what they truly love.  In my experience, people are held back by all kinds of things: financial concerns, risk aversion, having an inner critic, chasing their tail about the quit-vs-stay decision, etc. 

The bot first conducts some diagnostics and then doles out bite-sized career design education in a choose-your-own-adventure fashion. It’s still in the early stages, and over time I'd like to add more natural language processing capabilities. I think the mustachian community is a great place to kick some ideas around, both on the career design content side and also on the technical side.

https://www.passionanalytics.io

Check it out and let me know what you think (Facebook messenger is required for now, still working on going beyond that platform).

MarciaB

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Re: Post-retirement project: An AI career coaching chatbot
« Reply #1 on: November 25, 2018, 08:23:40 AM »
I'm a little confused? When I click on the link I see PAT, but then immediately scroll down to a cute picture of the human (Ann) and sales pages for coaching and courses. No more AI in sight. Have I either misunderstood, or somehow not seen the AI part?

scottish

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Re: Post-retirement project: An AI career coaching chatbot
« Reply #2 on: November 25, 2018, 09:07:54 AM »
If you copy the link out of that button you can manually paste it into a browser and it will take you to a facebook messenger login page.

I don't use facebook messenger or anything else from Mickey Zuckerman, so I can't go any further!

coach_ann

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Re: Post-retirement project: An AI career coaching chatbot
« Reply #3 on: November 25, 2018, 09:17:22 AM »
Ah, you should be able to click on "Get Started" button underneath PAT or the round blue Facebook Messenger button at the bottom right part of the site. If you are not on Facebook, then it takes you to the FB Messenger login page.  Thanks for pointing this out! I will change the button text to make it more obvious that that's how you chat with it. Maybe to "Chat Now" or something.

MarciaB

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Re: Post-retirement project: An AI career coaching chatbot
« Reply #4 on: November 25, 2018, 10:38:14 AM »
It's fun so far! Conversational, informative. Great project!

jomby

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Re: Post-retirement project: An AI career coaching chatbot
« Reply #5 on: November 26, 2018, 06:28:22 AM »
This was more in-depth than I was expecting, and better than any other chatbot I've encountered.  Nice job!

scottish

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Re: Post-retirement project: An AI career coaching chatbot
« Reply #6 on: November 26, 2018, 03:59:21 PM »
Ok, I've logged into facebook to try it out.    (So much for keeping my Facebook free resolution.)

I don't really see the AI part though.   As far as I can tell, the messaging could be coming from a decision tree.    What is the system learning?

coach_ann

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Re: Post-retirement project: An AI career coaching chatbot
« Reply #7 on: November 27, 2018, 07:57:17 AM »
Ok, I've logged into facebook to try it out.    (So much for keeping my Facebook free resolution.)

I don't really see the AI part though.   As far as I can tell, the messaging could be coming from a decision tree.    What is the system learning?

Fair point. The intelligence of the bot currently comes from baked-in human knowledge, much like most expert systems in AI. The learning can only happen once we collect enough data. For example, over time, it could learn things like a person with a certain personality type tends to like a certain type of career exercise. For the near future, I want to work to make the decision tree part useful enough to organically spread and help enough users, which then gives me enough data to learn from.  It's a bit of a chicken and egg problem.