Hacker News Reader

udayrddyon Show HN: I built an AI app to tag a resume with the closest job title

Thanks for trying. I just tried, looks like working. Could you help me with your OS and firefox version, please.

udayrddyon Show HN: I built an AI app to tag a resume with the closest job title

To let the job seekers aware on how their resume is being viewed at the recruiter end. Helps with suggestions and required skills to fit for their dream job role.

udayrddyon Show HN: I built an AI app to extract tables from images over API

As stated, demo is live now.

udayrddyon Show HN: I built an AI app to extract tables from images over API

I agree, this was inline with the next improvements. As this looks like a priority, you should be seeing this in a day.

udayrddyon Show HN: I built an AI app to extract tables from images over API

Behind scenes involves in 1. OCR - to detect characters 2. use location bindings of the words as input to an AI model which spits out table cell ids that contribute to form a table structure

udayrddyon CamelotPro – A PRO layer on an OSS library to extract tables

Welcome Akshwohini,

That was a good work, also easy to try instructions found on the repo page. While I enjoy the free credits for now, I've concerns about the future, as there is no information provided on how to purchase more credits, pricing et al

udayrddyon People love working remotely

I expected there will be more counter arguments to this, surprised that the most of the people agreed. Now, am I weird ?!

udayrddyon Where we see shapes, AI sees textures

So, a person with a gray texture of elephant skin shirt is classified as elephant ?!

udayrddyon Sometimes, it's not you, but, it's you !!

Are recruiters still relying on keywords? Are we underutilizing the advancement of AI in this space?

udayrddyon Uber released Ludwig, a deep learning toolbox where hardly any coding skill

Not taking away the great help to the open source community. Apart from high tech and advanced AI, did uber team missed the basics ? I mean, half of the 1.3MB webpage load is being consumed by 3 images. That "screens-2800.png" which consumes 586KB, and it conveys nothing.

udayrddyon Flying for Thanksgiving

That is a lot of effort and nice analysis, but concluding the story based on the WiFi data usage is a weak support because 1. Flights get often delayed most, during the long weekend days 2. Because it is a holiday season, people like me assume the security clearance line gets busier than the regular days and reach the airport 90 minutes earlier (45 minutes earlier on a non-holiday trip) 3. November it is, places might have covered with snow or fog (SFO might be an exemption)

I think it would have been a great support to your analysis if the peak is measured on passenger count or unique devices connected to the wifi.