12
3
Pakistan
1 year of experience
A student of BS Artificial Intelligence, having interest in AGI, ML, NLP, CV, applied research and competitive coding. Believe on learn by doing. Having experience of Python programming with beginner in ML, expertise in doing search.
The leading theory explaining the correlation between digital screen use and dry eye syndrome posits that screen use alters blinking dynamics, decreasing both blink rate and completeness, which in turn leads to increased dryness of the ocular surface. This understanding is drawn from our extensive analysis of various research papers exploring this relationship. Based on these findings, we have developed an application designed to run in the background and monitor your blinking habits. It counts the frequency of your blinks, assesses your tear production, and studies your blinking dynamics. If these metrics fall below healthy levels, the application will issue an alert accordingly.
We developed a 3D visualizer tool that allows users to Dive deep into the brain's vast neural networks with our 3D Neural Pathway Visualizer. Powered by Point-E advanced 3D generative capabilities, we bring forth unparalleled clarity and precision to understanding the brain's complexities. This tool can be used by medical professionals to better understand neural pathways, plan treatment procedures for neurological diseases, and even for drug discovery as well. Purpose: Simplifying complex neural pathways to foster better understanding and research. Target Audience: Medical students, neurologists, neuroscientists, and educational institutions. Profitability & Market Introduction: Licensing the software to educational institutions and medical centers or offering it as a premium cloud-based service.
The idea of this project is to advance and enrich the lives of teachers, while enable them to capture back their lives. Education in all forms is only as good as the teachers. Therefore we use Phi-2 in this Streamlit App with Transformers to dynamically generate lesson plans for the user based of their request. We then feed this input into a tailored system prompt for education and generate a nearly static response without the normal nuance of the conversation. We find that packing in the details into the system prompt about education, the request and the requested format allows Phi-2 to simply comply with the upmost attention!