Mohamed Fazil@Fazil_24

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India

1 year of experience

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🤝 Top Collabolators

Ayeza Amjad

I'm ayeza amjad My occupation is student at University of Agriculture Faisalabad, Pakistan I'm interested in learning different things Recently i'm learning chrome extensions. I am experienced in HTML, CSS , C++ And little bit knowledge of jQuery , JavaScript. and continue to learn different opportunities.

Juliana Serna Mesa

Juliana is an interaction and industrial designer; her work ranges from physical objects to digital experiences over user interfaces. She graduated with a B.S in Industrial Design from UPB Colombia with an award-winner project that re-thinks the future experience of smart living. After finishing her studies in Advance Product Design at NABA in Milano. She worked as a freelancer helping companies to enhance their visual communication language and branding. She also studied at the intersection of art, design, and architecture at Harvard (GSD) under the program “Design Discovery.” Currently, she is working as a UX - Usability and 3D product development Tutor at The New School while also pursuing an MFA in Design and Technology, focusing on User Experience, ML, and XR environments.

Yixuan Liu

Shristi Singh

🤓 Latest Submissions

DocuMed

Our project DocuMed involves developing an Gen AI-powered chat application using Streamlit and Falcon LLM to streamline patient data management for clinicians. The solution consolidates and summarizes each patient’s medical history, including EHR, lab tests, and imaging results, into a comprehensive knowledge base. This facilitates personalized care by reducing manual data entry, enhancing efficiency, and improving decision-making. Future plans include integrating this system into a decentralized platform for seamless data transfer across healthcare facilities. This tool is a radical approach to solve the problems of clinicians serving as their copilot

Hackathon link

7 Aug 2024

EdGen

This project focuses on providing farmers in underserved communities with an intelligent AI-powered chatbot that addresses both general and complex queries related to plant care and farming. The system uses a Strategic agent approach: A local model (LLaMA 3.2 3B) running on an edge device to answer general, everyday plant care questions. A larger, cloud-hosted model (LLaMA 3.1 70 B) accessible via API for handling more complex or specialized queries. An intelligent agent is designed to assess the complexity of each query and assign a score. Based on the score, the agent dynamically routes the query to the appropriate model, optimizing for response time, computational resources, and accuracy. Farmers will interact with the system through a simple web or mobile chat interface (powered by Streamlit), enabling them to ask questions about plant health, harvest cycles, and more.