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Co-Founder @ WeCracked | CS @ UM-Dearborn | Fullstack Engineer | WebDev Freelancer | Co-Project Coordinator for AIC | GDSC Dev Team Member | Intel Student Ambassador | CodePath TIP 102 | SAFA E-Board 🇵🇭
Hey LinkedIn 👋 A couple days ago, I attended the Anything But Wrappers: NVIDIA Llama3 NIM Edition "hackmeetup" hosted by Brev.dev and NVIDIA at the Solaris AI office in San Francisco. In 2023, scams targeting people aged 60 and older caused over $3.4 billion in losses, which is an 11% increase from 2022. The average victim lost $33,915, and 5,920 people lost more than $100,000. Now, imagine one of these targeted people was your grandma. Terrible right? Introducing, Granny Guard 👵💂 A white hat hacker tool designed to combat scammers by using reinforcement learning to train your grandma to identify them. My team, comprised of Joe Malatesta, Leon, Oscar Hong, Alexander Makhratchev, and Dennis Xing, used NVIDIA NIM and Brev to host a Llama3 model (enhanced with some prompt engineering!) that would interface with RetellAI's API services to provide real-time phone call conversations. Another AI agent would be used for sentiment analysis to detect if the Granny Guard scam was successful, and would notify you. Interested in a video demo? Check it out here: https://lnkd.in/eJWp_DWz Thank you Nader Khalil, Sarah Chieng, Michael Balint, and Julio C. Tapia for hosting such a fun event :) #brev #nvidia #nvidianim #llama3 #retellai #generativeai #llama #oss #aiagent
This was amazing! Epic work haha :)
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Super cool Kieran! love the idea and clever use of Llama3. We definitely have a lot of use cases for something like this.
In your innovative project, you ingeniously addressed a pressing issue using advanced AI techniques, showcasing the transformative power of technology in safeguarding vulnerable populations. Your use of reinforcement learning and real-time analysis is commendable for its potential to empower individuals against scams. However, I'm curious about the scalability of your solution and its adaptability to different demographics or languages. Considering the diverse nature of potential targets, how would you tailor your approach to ensure effectiveness across various cultural and linguistic contexts?
SWE Intern @ Emerald Energy | CS @ Fordham University
1moHe can’t be stopped 💪