Created by team AutoMinds on أغسطس 12, 2023

TrackPak systems It is time to say goodbye to well-known baggage labels – AI algorithms will handle the task way more successfully. Plus, it is environmentally friendly. What exactly do we mean by that? While the number of travelers grows yearly, specialists from the travel and tourism industry are looking for a way to optimize baggage processing. And here it is. Computer vision technology can trace the tiniest bag characteristics and send a complete bag “profile” to the database. Machine learning then distinguishes the right baggage according to its unique portrait. example TrackPak website Travelers take a photo of their luggage and upload it to the system. This is the only step needed to track the bag wherever it may appear. At first, such a system does not seem reliable, but mind that every bag is unique, considering size parameters, spots, scratches, dints, and so on. As the creators say, “Pictures do not lie.”

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Coursera Courses RAG

A Retrieval-augmented generation (RAG) that will answer users about Coursera courses, this RAG was made using langcahin, Gemini pro and pinecone as a vector database. we got an inspiration to make this RAG because we as students always look for a way to learn, and an AI system that answer our questions about Coursera courses would be beneficial for us and other students who look for courses. We have utilized Pandas to do some cleaning before inserting the courses data inside the vector database, and made sure that the data was clean and ready in a format that would be suitable to be queried by a vector database

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Data Analaysis Tool

the main idea is to help extracting features and further data analysis for any given structured dataset for example when a data analyst has the data in hands and needs more in depth analysis, the LLM helps him by giving him further instructions, given the data and a short dataset description, the LLM generates questions and ideas on how to further analyse the data to make a more performing model for whatever the use case of the dataset, time series, labeled and unlabeled, or semi labeled. for that, the data analyst can read the instructions generated by the LLM and then apply them in order to help him solve the problem.


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house hospital

Feeling off or facing challenges doesn't always mean something serious. Like when we're a bit sick, life's hurdles might not be major issues. It's important to reflect on what's going on and figure out why things are tough. Once we understand the core problem, we can tackle it, much like going to a hospital to diagnose a physical issue. solution We're suggesting a bot that can help assess situations over time. Share what's going on, and it'll let you know if a hospital visit is necessary or if your perspective might be influencing things. how it's whork First, describe how you're feeling and what happened. Then, gauge the pain level—whether it's high or low. Depending on the severity, consider if a hospital visit is necessary. It's advisable to consult a healthcare professional for accurate guidance. why it is important 1-It makes hospitals more organized 2-Psychological comfort of the patient 3-The Priority is given to patients in need of rapid treatment 4-Avoid overcrowding in hospitals

Ariam Lafe Al-Mutairi


smart water solutions

فشنTo address this problem, we will install sensors in the underground water tank, including a camera and lighting. These devices will capture images to determine the water level, alkalinity, drinkability, and clarity. We will also install smart sensors throughout the house or building to monitor water flow and movement continuously and smoothly .Using this innovative project, we will provide high-quality water in homes. We will educate and guide users on reducing water waste and maintaining the health of household members by providing safe drinking and everyday use water. We will also offer homes the appropriate tank water quality suitable for drinking, especially for cooking purposes. We will measure water quality in the pipes and install regularly replaceable filters to minimize deposits and ensure the effectiveness of our project Financial Feasibility Slide : Our project offers several avenues for financial feasibility. Firstly, there will be high demand for our services from homes and buildings experiencing water quality issues. We will offer our services at competitive prices, allowing us to achieve good profits . Secondly, we can provide maintenance and periodic operation services for our devices and water filters, which will serve as an additional source of revenue. We will offer comprehensive maintenance contracts to homes and institutions using our products, ensuring business sustainability and a continuous flow of income . Furthermore, we can explore business partnerships with companies involved in water quality improvement or bottled water distribution. We can provide them with reliable data on water quality and flow, which will have significant commercial value . In summary, our project for improving water quality in homes offers multiple opportunities for financial feasibility through diverse services, sustainable maintenance, and business partnerships .

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Imaginify AI

Introducing our groundbreaking AI model - an interactive story generator that revolutionizes the art of storytelling. Powered by state-of-the-art AI technology, our system not only crafts enchanting narratives but also breathes life into them with captivating and meticulously crafted visuals. Whether you're a writer seeking to embark on a literary journey or a content creator looking to captivate your audience with compelling visuals, our AI model is your ultimate creative ally. It seamlessly merges immersive storytelling and stunning imagery, ensuring that both you and your audience become entranced by the limitless possibilities it offers. Experience the future of storytelling today with our cutting-edge AI innovation.


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