Afreen Hossain@afreen007

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Hi, I`m Muhammad Anique is a specialized professional in the field of artificial intelligence, focusing on deep learning, computer vision, and advanced AI systems. His expertise spans across cutting-edge areas including: Deep Learning architectures and implementations Computer Vision applications and algorithms Agentic AI systems development Generative AI technologies and application

Zain Azhar

Hi, I’m Zain, a passionate Full Stack Developer with a strong focus on building dynamic, user-friendly applications. My expertise spans across frontend and backend technologies, including React, Next.js, Firebase, and MongoDB, among others. I am committed to crafting efficient and scalable solutions for real-world problems. I have participated in multiple hackathons and coding competitions, including the Meta Hacker Cup, NASA Space City Hacks, Calico Berkeley, and the GEMMA 2 AI Challenge. These experiences have honed my problem-solving skills and ability to collaborate effectively in fast-paced environments.

🤓 Latest Submissions

Deep Consent-AI-Powered Smart Consent Management

DeepConsent is an innovative AI-driven platform designed to streamline consent management for businesses, legal teams, and individuals. It offers two core functionalities: Consent Generation – Users can create legally compliant agreements in multiple languages by selecting predefined templates and compliance standards. Document Analysis – Users can upload consent documents, and DeepConsent provides summaries, identifies risks, and suggests improvements for better compliance. The platform leverages DeepSeek AI to ensure high accuracy, ease of use, and real-time compliance insights. Built using FastAPI, Streamlit, and React, it provides a seamless user experience with a modern web interface. DeepConsent aims to revolutionize legal tech by making compliance effortless and accessible to all.

Hackathon link

16 Feb 2025

Addressing climate change impact on health

Problem; Inability of doctors and pharmacists to either prescribe or design medications while taking into account effects of climate change. Solution: an intelligent assistant that: generates text, creates code, explains code and guides users on which appropriate Granite model to use for various tasks. Target audience: hospitals, pharmaceutical firms and organizations that focus on climate. The unique feature are integration of other IBM applications such as Cognos analytics which analyses the views of using different Granite models. We are also using data from the IBM Environmental Intelligence Suite for collecting weather data which provide insights about the climate. The benefits of the solution is that doctors would be able to make accurate prescriptions while taking into account environmental factors. Another benefit would be pharmacists would be able to offer advice on storage conditions of their medication by examining surrounding environments such as extreme heat which could affect performance of their medications. Lastly, climate scientists would have the capability of analyzing weather reports more accurately. Our project focuses on mitigating effects of climate change by use of IBM technologies such as Watsonx and Cognos analytics.

Hackathon link

23 Feb 2025