BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Kolkata BEGIN:STANDARD DTSTART:19451014T230000 TZOFFSETFROM:+0630 TZOFFSETTO:+0530 TZNAME:IST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250318T081842Z UID:DF6DA31D-75FF-467D-A652-99C77FB123AC DTSTART;TZID=Asia/Kolkata:20250228T090000 DTEND;TZID=Asia/Kolkata:20250228T160000 DESCRIPTION:The IEEE CIS AU SBC\, in collaboration with the Department of A rtificial Intelligence\, successfully conducted a hands-on workshop titled "Harnessing LLMs: A Practical Workshop on Resume Analysis". The session a imed to provide students with industry-relevant insights into leveraging L arge Language Models (LLMs) for resume optimization\, job application enha ncement\, and automated hiring processes.\n\nWorkshop Highlights:\n\n- Dr. A. Mallikarjuna Reddy (Head\, Department of AI) commenced the session wit h insightful opening remarks\, emphasizing the transformative role of LLMs in modern recruitment and hiring automation\, followed by Dr. M. Trupthi (Faculty Advisor\, IEEE CIS AU SBC).\n- The session was led by Ms. Pranali Bose\, ML Engineer at DBS Bank\, who provided a comprehensive overview of AI-driven resume analysis\, including best practices for resume screening \, keyword extraction\, and job application enhancement.\n- Participants a ctively engaged in hands-on exercises\, applying LLMs for resume screening \, text analysis\, and workflow automation. Practical demonstrations utili zed Hugging Face\, GitHub\, and the Transformer library\, allowing attende es to implement AI-driven recruitment solutions effectively.\n\nLinks Used :\n\nGitHub link: https://github.com/pranalibose/LLM_Workshop_2025\n\nHugg ing Face: https://huggingface.co/\n\n- The workshop was conducted in hybri d mode\, ensuring both in-person and virtual participation. The session co ncluded with an interactive Q&A segment\, where students gained deeper ins ights into AI-powered job search strategies and recruitment trends.\n- The workshop witnessed an overwhelming response\, with a total of 180 attende es\, comprising 145 students from Anurag University and 35 external partic ipants. The interactive format fostered an engaging learning experience\, providing students with practical knowledge and industry exposure.\n\nWe e xtend our sincere appreciation to Dr. A. Mallikarjuna Reddy (HoD\, AI) for delivering an insightful address\, highlighting the growing significance of LLMs in hiring and workforce automation. We also express our gratitude to Prof. V. Vijaya Kumar (Dean\, School of Engineering) for his unwavering support and guidance\, which played a crucial role in the successful exec ution of the workshop. Additionally\, special thanks to the third-year Fac ulty Incharges for their invaluable efforts in seamlessly organizing the e vent.\n\nConclusion:\n\nThe workshop significantly enriched students' unde rstanding of LLMs in recruitment\, equipping them with industry-relevant s kills. The IEEE CIS AU SB Chapter remains committed to bridging academia a nd industry by organizing insightful and career- focused workshops\, ensur ing that students stay ahead in the evolving AI-driven job market.\n\n[]\n \nThe event was organized by IEEE CIS AU SBC and coordinated by:\n\n- Dr. M. Trupthi\, Associate Professor\, Faculty Advisor\, IEEE CIS AU SBC\n- Da sari Tarun\,Vice Chair\, IEEE CIS AU SBC\n- N Vaibhav\, Technical Team Lea d\, IEEE CIS AU SBC\n\nAnurag University \, Hyderabad \, Andhra Pradesh\, India\, 500088\, Virtual: https://events.vtools.ieee.org/m/476431 LOCATION:Anurag University \, Hyderabad \, Andhra Pradesh\, India\, 500088\ , Virtual: https://events.vtools.ieee.org/m/476431 ORGANIZER:ieeecisau@anurag.edu.in SEQUENCE:0 SUMMARY:Harnessing LLMs: A Practical Workshop on Resume Analysis URL;VALUE=URI:https://events.vtools.ieee.org/m/476431 X-ALT-DESC:Description: <br /><p>The IEEE CIS AU SBC\, in collaboration wit h the Department of Artificial Intelligence\,&nbsp\;successfully conducted a hands-on workshop titled "Harnessing LLMs: A Practical&nbsp\;Workshop o n Resume Analysis". The session aimed to provide students with industry-re levant insights into leveraging Large Language Models (LLMs) for resume&nb sp\;optimization\, job application enhancement\, and automated hiring proc esses.&nbsp\;</p>\n<p><strong>Workshop Highlights: </strong></p>\n<ul>\n<l i>Dr. A. Mallikarjuna Reddy (Head\, Department of AI) commenced the sessio n&nbsp\;with insightful opening remarks\, emphasizing the transformative r ole of LLMs in&nbsp\;modern recruitment and hiring automation\, followed b y Dr. M. Trupthi (Faculty&nbsp\;Advisor\, IEEE CIS AU SBC).</li>\n<li>The session was led by&nbsp\;<strong>Ms. Pranali Bose</strong>\, ML Engineer a t <strong>DBS Bank\,</strong> who&nbsp\;provided a <strong>comprehensive o verview</strong> of AI-driven resume analysis\, including&nbsp\;best pract ices for <strong>resume screening\, keyword extraction\,</strong> and <str ong>job application</strong>&nbsp\;<strong>enhancement.</strong></li>\n<li >Participants actively engaged in&nbsp\;<strong>hands-on exercises\,</stro ng> applying LLMs for <strong>resume</strong>&nbsp\;<strong>screening\, te xt analysis\,</strong> and <strong>workflow automation.</strong> Practical demonstrations&nbsp\;utilized <strong>Hugging Face\, GitHub\,</strong> an d <strong>the Transformer library\,</strong> allowing&nbsp\;attendees to i mplement AI-driven recruitment solutions effectively.</li>\n</ul>\n<p>Link s Used:</p>\n<p>GitHub link: https://github.com/pranalibose/LLM_Workshop_2 025&nbsp\;</p>\n<p>Hugging Face: https://huggingface.co/</p>\n<ul>\n<li>Th e workshop was conducted in&nbsp\;<strong>hybrid mode\,</strong> ensuring both <strong>in-person</strong> and&nbsp\;<strong>virtual participation.</ strong> The session concluded with an interactive Q&amp\;A&nbsp\;segment\, where students gained deeper insights into AI-powered job search&nbsp\;st rategies and recruitment trends.</li>\n<li>The workshop witnessed an&nbsp\ ;<strong>overwhelming response\,</strong> with a total of <strong>180</str ong>&nbsp\;<strong>attendees\,</strong> comprising <strong>145 students</s trong> from <strong>Anurag University</strong> and <strong>35 external</st rong>&nbsp\;<strong>participants.</strong> The interactive format fostered an engaging learning experience\,&nbsp\;providing students with practical knowledge and industry exposure.&nbsp\;</li>\n</ul>\n<p>We extend our sin cere appreciation to Dr. A. Mallikarjuna Reddy (HoD\, AI) for delivering a n insightful address\, highlighting the growing significance of LLMs in hi ring and workforce automation. We also express our gratitude to Prof. V. V ijaya Kumar (Dean\, School of Engineering) for his unwavering support and guidance\, which played a crucial role in the successful execution of the workshop. Additionally\, special thanks to the third-year Faculty Incharge s for their invaluable efforts in seamlessly organizing the event.</p>\n<p >&nbsp\;</p>\n<p><strong>Conclusion: </strong></p>\n<p>The workshop signif icantly enriched students' understanding of LLMs in recruitment\,&nbsp\;eq uipping them with industry-relevant skills. The IEEE CIS AU SB Chapter rem ains&nbsp\;committed to bridging academia and industry by organizing insig htful and career-&nbsp\;focused workshops\, ensuring that students stay ah ead in the evolving AI-driven job&nbsp\;market.</p>\n<p><img src="https:// events.vtools.ieee.org/vtools_ui/media/display/c2e6cf56-ef56-431a-8e99-fb1 1a6b46b23" alt="" width="700" height="400"></p>\n<p>The event was organize d by IEEE CIS AU SBC and coordinated by:</p>\n<ul>\n<li>Dr. M. Trupthi\, A ssociate Professor\, Faculty Advisor\, IEEE CIS AU SBC</li>\n<li>Dasari Ta run\,Vice Chair\, IEEE CIS AU SBC</li>\n<li>N Vaibhav\, Technical Team Lea d\, IEEE CIS AU SBC</li>\n</ul> END:VEVENT END:VCALENDAR