3
3
Pakistan
1 year of experience
I’m a Software Engineering student currently in my 6th semester. I’m always eager to grow and constantly push myself to take on new challenges. I tend to lose interest in things once they become too easy for me. Right now, I’m transitioning into the Machine Learning field. I believe that university assignments, quizzes, and exams alone aren’t enough to thrive in today’s competitive market. That’s why I’ve also been working in the Web Development industry for the past 6-7 months.
The limited accessibility of space-related data and insights presents a critical challenge, impeding researchers, educators, and the public from driving innovation, advancing education, and making informed decisions in the domain of space exploration. To address this challenge, we have developed an advanced educational chatbot designed to cater to diverse learning levels, including students, professionals, and children. This intelligent chatbot dynamically adapts to the user's educational background, enabling individuals to ask space-related questions and receive accurate, personalized responses. By simplifying complex space concepts into clear, comprehensible explanations, the chatbot makes space education more accessible. It empowers learners of all ages and backgrounds to explore the intricacies of space science, fostering curiosity and facilitating effortless knowledge acquisition.
9 Feb 2025
Patient Input: Patients can enter their symptoms, medical history, or concerns into the app. This could range from describing a specific condition, reporting a set of symptoms, or even sharing their daily lifestyle and medical background. LLM-Driven Analysis: The app utilizes advanced language models that analyze the input provided by the patient. These models are trained on a vast dataset of medical knowledge, helping to identify potential conditions or concerns based on the data provided. Preliminary Medical Report: Based on the patient’s input, the app generates a preliminary medical report. This report offers insights into possible diagnoses, recommended next steps, and any potential lifestyle adjustments. It serves as an informative starting point for further medical consultation. Improved Doctor-Patient Interaction: The app enables more effective communication between the patient and the healthcare provider by delivering well-organized, structured reports. This helps doctors understand the patient's concerns more quickly, making their consultations more efficient. The report is not a definitive diagnosis but a tool to guide the doctor’s examination.
16 Feb 2025
GraniteFit is a cutting-edge AI-powered platform that revolutionizes health tracking and workplace automation using IBM’s Granite AI. It integrates advanced AI-driven analytics, natural language processing (NLP), and predictive modeling to enhance productivity and well-being. Designed to cater to both corporate professionals and healthcare providers, GraniteFit offers a seamless experience by automating reminders, scheduling tasks, and improving personal and workplace efficiency. This AI-driven assistant not only simplifies daily tasks but also ensures a healthier lifestyle by sending personalized reminders for medication, hydration, physical activity, and work-related tasks. The system can intelligently analyze user behavior, predict needs, and provide real-time insights to optimize workflow and personal health. Leveraging IBM Granite AI, it ensures a highly scalable, secure, and adaptive AI model that evolves based on user interactions.
23 Feb 2025