Hi Friends
Good Day
Hope you are doing good.
I have created this presentation for Idea, which aims to address a significant challenge in talent acquisition: efficiently processing a large volume of resumes within tight deadlines.
To develop this solution, I have utilized various AI/ML LLM models, including Cohere Embed, reinforcement learning (based on trial and error), and the Random Forest (decision trees) ML model, to analyze data and effectively process a greater number of resumes in a shorter time frame, ensuring the selection of more qualified and skilled candidates.
For coding the algorithms in Python, I am leveraging Chat GPT and Google Bard LLMs.
To articulate the Idea, the problem, the solution, and the marketing opportunities, I have employed the Lean Canvas Model, which provides a clear explanation of each section.
I encourage you to watch the video and share any questions you may have, as your feedback will be invaluable in enhancing my solution.
https://lnkd.in/dDwZWzfm
Thanks
hashtag#ResumeAutomation
hashtag#AITalentAcquisition
hashtag#GPTinRecruitment
hashtag#LeanCanvas
hashtag#MLResumeScreening
hashtag#TAOneAI
hashtag#RecruitmentTech
hashtag#HiringAutomation
hashtag#AIHiringTool
hashtag#IT
hashtag#Banking
hashtag#logistics
hashtag#EDI
hashtag#B2B
hashtag#Retail
hashtag#resume
hashtag#jobs
hashtag#opportunities
hashtag#latestjobs
hashtag#USA
hashtag#India
hashtag#Singapore
hashtag#Malaysia
hashtag#ITjobs
hashtag#LLM
hashtag#mechinelearning
hashtag#ML
hashtag#chatgpt
hashtag#googlebard
hashtag#googlegemini
hashtag#azure
hashtag#AWS
hashtag#SAP
hashtag#IDOC
hashtag#marketing
hashtag#recruitment
hashtag#itservices
hashtag#jobopenings
hashtag#jobopportunities
hashtag#chatgpt4
hashtag#googlebard
hashtag#googlegemini
hashtag#AzureLogicapps
Friday, October 23, 2026
Address a Significant Challenge in talent acquisition: efficiently processing a large volume of resumes within tight deadlines
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Address a Significant Challenge in talent acquisition: efficiently processing a large volume of resumes within tight deadlines
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