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1.4.0

Alishyy

Alisha Ashraf@Alishyy

1

Events attended

1

Submissions made

Pakistan

1 year of experience

Socials

๐Ÿค Top Collaborators

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Ghulam Abbas

Hello! My name is Ghulam Abbas, and I am a Computer Science student currently in my 5th semester, based in Balochistan, Pakistan. I specialize in Generative AI and Data Analysis, with a strong passion for exploring innovative solutions and new technologies. I am eager to apply my skills in real-world projects and collaborate with others to solve complex challenges.

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Hamid Raza

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Muhammad Jawad

Data โ†’ Insights โ†’ Innovation Iโ€™m passionate about innovation in Machine Learning and Deep Learning, and constantly honing my data analysis skills. With experience in building AI applications like chatbots and sentiment analysis tools using models like GPT and LLMs, I love turning complex data into actionable insights. Proficient in tools like Excel, Python, SQL, and Power BI, I thrive on data-driven problem-solving and Exploratory Data Analysis (EDA). My mission is to uncover valuable insights from data to tackle real-world challenges. If you have a project that aligns with my expertise, Iโ€™d be excited to collaborate and learn together!

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Muhammad Bilal

Hi, I'm Muhammad Bilal, an AI enthusiast with a passion for creating AI projects and exploring new technologies. I have a background in Software Engineering, and Iโ€™m always eager to learn new things and stay at the cutting edge of innovation. Whether itโ€™s developing AI models, working with the latest tools, or solving challenging problems, Iโ€™m driven by a desire to grow and make an impact in the world of technology.

๐Ÿค“ Latest Submissions

    Predicting Agriculture App

    Predicting Agriculture App

    Predicting Agriculture App is a sophisticated, yet user-friendly tool designed to forecast crop yields by analyzing various agricultural factors. This app allows users to input detailed information about their farming conditions, including climate zone, soil type, weather patterns, and farm practices. By providing data such as location, crop type, irrigation methods, and fertilizer usage, the app generates accurate and tailored yield predictions. Built with Streamlit, the app features an intuitive interface that simplifies data entry and makes the prediction process accessible to both novice and experienced farmers. It leverages a powerful API to analyze the input data and provide insights into potential crop yields, helping users make informed decisions about their farming practices. Whether you are managing a small garden or a large farm, the Predicting Agriculture App offers valuable predictions that can optimize your yield and improve agricultural outcomes. By considering critical factors such as soil moisture, temperature, and weather conditions, the app supports effective planning and resource management, ultimately contributing to more successful and sustainable farming operations.

    Hackathon link

    26 Aug 2024

๐Ÿ‘Œ Attended Hackathons

    Generative AI Hackathon with IBM watsonx

    Generative AI Hackathon with IBM watsonx

    ๐Ÿ•’You have 2 days to complete the challenge. Compete for exciting prizes and exclusive opportunities. It's an amazing opportunity to: ๐Ÿš€ Compete to craft an app supercharged by IBMโ€™s advanced AI models. ๐Ÿ’ฐ Receive the necessary resources to kick off your app development. ๐ŸŒŸ Expert mentors will guide you every step of the way. ๐Ÿค Work alone or form a team to build something extraordinary. ๐Ÿง‘๐Ÿปโ€๐Ÿ’ป Sign up before the Kick-Off Stream to secure your spot!

๐Ÿ“ Certificates

    Generative AI Hackathon with IBM watsonx

    Generative AI Hackathon with IBM watsonx | Certificate

    View Certificate