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2.3.0

Sherazanwar

Sheraz Anwar@Sherazanwar

19

Events attended

3

Submissions made

Pakistan

1 year of experience

About me

Passionate mathematician and AI researcher with a strong background in Dynamical Systems, Stochastic Processes, and Applied Mathematics. Experienced in blending mathematical theory with practical applications in AI, data analysis, and computational modeling. Dedicated to exploring how mathematical logic can drive innovation in modern technology and scientific discovery.

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🀝 Top Collaborators

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Mujeeb ur Rehman

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warda ishaq

🐍 Aspiring Pythonista | 🌱 Basic Python Learner | ✨ Coding Journey πŸ“š Currently mastering the basics of Python and exploring the endless possibilities of coding. 🌈 Let's connect, learn, and grow together in the world of Python! 🌐

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Muhammad Bilal

Eager Python Learner | Amazon Expert | WordPress Developer | Graphic Designer

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Pushkar KG

πŸ€“ Latest Submissions

    ANATOMY MENTOR

    ANATOMY MENTOR

    The Anatomy Mentor integrates the Gemini API, enriching its functionality with real-time access to anatomical data and resources. Leveraging Gemini's vast database, the Mentor enhances explanations with up-to-date information, ensuring accuracy and relevance. Additionally, it utilizes Gemini's image recognition capabilities to augment its image processing features, accurately identifying anatomical structures within uploaded images. This seamless integration enables students to delve deeper into anatomical studies, accessing a wealth of resources and insights at their fingertips. By harnessing the power of the Gemini API, the Anatomy Mentor provides a comprehensive and dynamic learning experience, setting a new standard in anatomy education.

    Hackathon link

    25 Mar 2024

    GPDoc

    GPDoc

    Doctors spend a significant amount of time reading doctors' notes as part of their workflow. A study published in the Journal of General Internal Medicine in 2016 found that primary care physicians spent an average of 18.4 minutes per patient encounter reading and writing electronic health record notes. This includes reviewing previous notes, writing new notes, and reviewing test results. To mitigate this problem, we developed an AI assistant that can answer questions from doctors’ notes. Questions may be related to patient history, follow-ups, medication adjustments, treatment, diagnosis, procedures, and other categories.

    Hackathon link

    26 Jan 2024

    Eco Mentor

    Eco Mentor

    Eco Mentor is a groundbreaking AI-powered platform focused on environmental education and sustainability. Aimed at fostering a deeper understanding of ecological concerns and promoting sustainable practices, the platform caters to individuals eager to make environmentally conscious choices. The core problem addressed is the gap in accessible, personalized environmental education and community involvement in sustainability initiatives. Eco Mentor offers a solution by integrating AI to deliver customized learning experiences, connecting users with local eco-friendly projects, and providing interactive challenges and tools for eco-conscious living. Unique features include a real-time impact visualization of users' eco-actions, a forum for sharing experiences, and AI assistance for eco-friendly shopping. The platform targets environmentally conscious individuals, educators, and students, making sustainability an engaging, collaborative journey.

    Hackathon link

    24 Nov 2023

πŸ‘Œ Attended Hackathons

    TruLens Hackathon

    TruLens Hackathon

    TruLens provides a robust suite of tools for neural network development and monitoring, including LLMs. You can utilize TruLens-Eval for evaluation and TruLens-Explain for deep learning explainability, independently. Explore these valuable tools while taking on the challenge!

    TruEra Challenge: Build LLM Applications

    TruEra Challenge: Build LLM Applications

    Revolutionize AI with TruLens by TruEra - Your Gateway to Building Better LLM Applications! Build with TruLens, LLMs development and explainability tool by TruEra Leverage AI observability for dynamic app enhancement Collaborate with like-minded individuals! For the Hackathon you can work in a team from 1 to 6 members. In this Hackathon, you can also join with a project from the TruLens 48-Hours Hackathon, provided you adhere to the following rules. Consider it a warm-up, and explore the world of technology by participating in the TruLens 48-Hours Hackathon.

    Multimodal Hackathon

    Multimodal Hackathon

    Welcome to the 3-day event that brings together developers, data scientists, and AI enthusiasts to explore the capabilities of Fuyu-8B and LLaVA, two cutting-edge models in the world of multimodal AI. πŸ€– Fuyu-8B: Unleash the potential of Fuyu-8B, a multi-modal transformer, to tackle image-related tasks and fine-grained image understanding with rapid response times. 🀯 LLaVA: Dive deep into LLaVA, a chatbot with a focus on language and vision, excelling in science question-answering and versatile applications in multimodal AI. πŸ’‘ Challenge: Choose any industry, identify unique business challenges, and create innovative AI prototypes. 🌟 Startup Opportunity: Top performers may secure entry into prestigious startup accelerator programs like GAIA and Slingshot.

πŸ“ Certificates

    Custom GPTs 48-hours Hackathon

    Custom GPTs 48-hours Hackathon | Certificate

    View Certificate
    Gemini Ultra 1.0 Hackathon

    Gemini Ultra 1.0 Hackathon | Certificate

    View Certificate
    Build Your Custom GPTs: 24-hours Hackathon

    Build Your Custom GPTs: 24-hours Hackathon | Certificate

    View Certificate