6
4
Pakistan
1 year of experience
Hello, everyone! š Iām Areeba Abid, a passionate and dedicated computer science student with a deep interest in generative AI, chatbot development, and prompt engineering. I thrive in collaborative environments and am eager to learn and grow through hands-on experiences like hackathons and team projects. Iāve developed a range of skills in Python, C++, and basic Java, and Iām proficient in front-end technologies like Streamlit, Flask, HTML, and CSS. My expertise includes working with advanced AI tools like LangChain and vector databases to build intelligent and responsive systems. Recently, Iāve started exploring data analysis to expand my technical portfolio. Beyond my technical skills, I bring enthusiasm and a strong work ethic to every project. Iām always excited to take on new challenges, learn from them, and push the boundaries of what technology can achieve. Iām constantly seeking opportunities to contribute to innovative projects and collaborate with like-minded individuals. Feel free to connect with me on LinkedIn and explore my work on GitHub.
This project consists of three stages to streamline surgical procedures using AI-driven agents. In the Pre-Surgery phase, CrewAI agents generate a comprehensive report based on the surgery name, prescriptions, test reports, and scan reports. This report consolidates all necessary information for surgical preparation. In the During Surgery phase, the system uses voice activation to assist the surgical team. It listens for questions related to the surgery and provides real-time answers, enhancing decision-making and ensuring seamless operation. In the Post-Surgery phase, the system gathers the patientās condition, surgery details, and key conversations from the operation to produce a detailed post-surgery report. This final report includes recovery guidelines, patient status, and further recommendations for aftercare, ensuring comprehensiveĀ follow-up.
An IBM website chatbot is an advanced AI-powered virtual assistant that plays a pivotal role in enhancing the user experience on IBMās digital platforms. Designed with cutting-edge technology, the chatbot is integrated into IBMās website to provide real-time support, guidance, and information to users, making their interaction with the site more efficient and user-friendly. This chatbot is not just a simple query-response system; it is a comprehensive tool that leverages sophisticated AI models, such as the IBM Granite 13B, to deliver a wide range of functionalities tailored to meet the needs of various users. ### Purpose and Functionality The primary purpose of the IBM website chatbot is to assist users in navigating the website, finding relevant information, and resolving issues without the need for human intervention. This is particularly important for large, complex websites like IBMās, where users might find it challenging to locate specific information or troubleshoot issues on their own. The chatbot serves as a virtual guide, leading users to the right resources, answering frequently asked questions (FAQs), and providing step-by-step assistance for more complicated queries. The chatbot's functionality extends beyond just answering questions. It is designed to handle a variety of tasks that enhance the user experience, such as: - *Website Navigation Assistance*: The chatbot helps users find the information they need by guiding them through different sections of the website. Whether a user is looking for specific product details, support documentation, or company information, the chatbot can quickly direct them to the right page. - *Customer Support*: For users seeking support with IBM products or services, the chatbot offers troubleshooting tips and solutions. It can address common issues directly or escalate more complex problems to human support agents when necessary.
Doctor_Assistant_and_Medical_Image_Analyst is an innovative virtual assistant designed specifically for healthcare professionals, particularly in rural areas with limited internet access. This project aims to enhance patient care by providing quick access to accurate, evidence-based medical information and treatment options, enabling doctors to make informed decisions even in challenging environments. By utilizing offline capabilities, the assistant allows healthcare providers to retrieve essential medical data and analyze images without relying on constant internet connectivity. This feature is crucial in remote settings, where timely access to information can significantly impact patient outcomes. Ultimately, the project seeks to empower doctors in underserved regions, ensuring they have the tools needed to deliver effective and safe care.