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Darshan Melgiri@Darshan-Melgiri

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šŸ¤“ Submissions

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    Hackathon link

    EffiQuery Intelligent IT Support Automation

    Leveraging a cutting-edge fusion of Retrieval-Augmented Generation (RAG) and Language Model (LLM) advancements, our solution revolutionizes the landscape of helpdesk and IT operations. The system empowers organizations to effortlessly address user queries by automatically generating responses, finely tuned to the injected context. The result? A transformative enhancement in efficiency, productivity, and cost-effectiveness. By uploading thoroughly documented user requests into the platform, businesses embark on a journey of accelerated information retrieval. This leads to swifter issue resolution, unlocking a productivity boost across the board. As a versatile tool, it digitizes employee queries, ensuring they receive timely and accurate support without the traditional bottlenecks. Notably, our solution doesn't just provide answers; it offers a comprehensive suite of benefits. Seamlessly integrating into existing workflows, it optimizes costs by reducing human intervention in routine inquiries. Furthermore, the efficiency gains translate into enhanced employee satisfaction and streamlined operations. In a world where time is of the essence, our solution emerges as the linchpin for organizations striving to excel in efficiency, accuracy, and user-centric service.

šŸ‘Œ Attended Hackathons

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    Autonomous Agents Hackathon

    šŸ—ļø Build projects with Autonomous Agents, using cutting-edge frameworks like SuperAGI, AutoGPT, BabyAGI, Langchain, and more! šŸ† Register now and stand a chance to win up to $10,000 and a place on the SuperAGI team. šŸ 3-days to complete your solution!

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