Amina Ibrahim@aminaibm76

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Events attended

Submissions made

Pakistan

1 year of experience

About me

Third year undergraduate CS student from Pakistan.

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🤝 Top Collabolators

Amina Ibrahim

Third year undergraduate CS student from Pakistan.

Hello! I'm an IT undergraduate with a strong background in AI and ML. My project expertise includes end-to-end chatbot development and AI web apps. I actively participate in coding challenges, such as AdventOfCode 2023, and have a keen interest in problem-solving on platforms like LeetCode. Additionally, I've delved into system design to enhance my skills in crafting scalable solutions.

Muhammad Hamza

Leigh Lawhon

Hello. My name is Leigh, and I have an extensive background in product management, front-end development and UX design. I enjoy creating, innovating, and designing attractive and efficient products based on the results of thorough research and user assessments. My background involves building SAAS and web- based solutions from the ground up, collaborating directly with clients to determine requirements and develop concepts, budgets, and workflows. I am expert at engaging and mentoring teams, working cross-functionally, and training others to acquire new skills and learn new methodologies - with the goal always on customer satisfaction and meeting organizational objectives.

🤓 Submissions

EZ-Read

EZ-Read is a GenerativeAI comic book creation tool. It's primary use is for Creators who want to assemble a comic book using Generative AI for character, background images and book parsing with Generative AI summaries and metadata extractions, such as which characters are in which scenes. The tool was built for the hackathon in 3 apps (do to time zone differences) but will be a single platform ina future state. One thing we tried to forcus on was consistent character creation (in different poses). We got good results with Midjoureny, but there is no API. So we built our own using Stable Diffusion.

Hackathon link

What Do I Eat Today

What Do I Eat Today is a dynamic web application designed to simplify meal planning by leveraging advanced AI and recipe APIs. Users input available ingredients, and the app utilizes Llama 3's language model to generate recipe suggestions based on those ingredients. Integrated with the Tasty API, What Do I Eat Today fetches detailed recipes, including preparation steps, images, and nutritional information. The app organizes recipes into a user-friendly format and offers a streamlined interface for easy navigation. With features for downloading videos and viewing recipes, What Do I Eat Today aims to assist home cooks in discovering new dishes and making the most out of their pantry staples.

Hackathon link