3
2
Pakistan
1 year of experience
I am a PhD Scholar specializing in solving Remote Sensing challenges using Machine and Deep Learning at the NCBC Lab, UET Peshawar, where I also serve as a faculty member with over 15 years of experience. As a team lead in the Pak Angels GenAI Essentials Hackathon, I led a team of four in developing AI solutions for healthcare. Passionate about both education and research, I regularly organize interactive learning sessions and actively explore innovations in AI-driven applications.
We're Team TerraSentinels part of MindsDB hackathon , on a mission to revolutionize land use monitoring with AI and geospatial data! Our project: Intelligent Land Use Monitoring Agent, aims to detect unauthorized land use, deforestation, and urban expansion in real-time by analyzing satellite images and large-scale geospatial datasets. We plan to use tech like MindsDB, Google Earth Engine, and TensorFlow, all wrapped in a sleek web interface with Flask. If you're passionate about AI, geospatial data, or just love tackling big challenges with a positive, can-do attitude, we’d love to have you on board!
Learning Assistant named Laitent is built using AI ML Capabilities along with O1 Model's reasoning capabilities. We have used OpenAI's O1 Model, API Keys provided to us and it's reasoning capabilities to better help users learn things at different levels of difficulty and different stages of lives! This means we have simplified the prompt inputs with providing drop-down that tells users whether they want an explanation suitable to kids aged between 5-12 years or they want it for teenagers or they need answers/replies for adults with minimal knowledge, this subset categorization further helps user to reduce the needs for prompt engineering and get better responses from O1 Model which has reasoning capabilities according to the option chosen from drop-down menu and this helps the user to learn things easily - be it simple daily tasks to complex tasks or coding concepts!