# Project Title: 24023 OpenAI and Urban Imagibility **Project Title:** 24023 OpenAI and Urban Imagibility **Project Description** OoenAI provides a strong ability to identify and understand the image of a city. Kavin Lynch's concept of the "image of the city" offers a theoretical framework for comprehending the visual nature of cities. The project will develop a cognitive AI model for this theory and evolve an AI-based understanding of cities and their virtual identities. \- Use machine learning and geoAI techniques to develop applications for urban analysis \- Work on system design for using OpenAI and Ubran data with geospatial technologies of ESRI ArcGIS \- Utilize OpenAI platform to create algorithms that enhance the ability to simulate and analyze urban data \- Work on Natural Language Process (NLP) and Large Language Model (LLM) for urban data assimilation and processing \- Geospatial visualization integrated with OpenAI, KNIME, and ArchGIS of complex data **Key Words**: Image of City, OpenAI, GeoAI **Research Topics**: Applying OpenAI for Cities, Develping OpenAI tools **Tasks and Responsibilities** The project will be part of ongoing research, and the following are the tasks and responsibilities: \- Application of machine learning for analysis of geospatial data for cities \- Work on urban data sets with OpenAI and geo images \- Visualization for geospatial data using ArchGIS and KNIME \- Develop ChatBots and integration of vaious API in OpenAI \- Collection and data processing of urban imagibility \- Work on ArcGIS adavnced modules of GeoAI \- Work of research paper for high impact journal **Minimum Qualifications** B.SC./B. Tech./B. E or M.Tech/M.Sc. geography, computer science, engineering, architecture, urban planning, or a GIS-related field. \- Knowledge of NLP, Python and other programming languages \- 1 to 2 years experience \- Knowledge of the geospatial applications and proficiency in programming languages such as Python, C/C++, Java, NLP, Jupyter Notebook, and LLM is desirable. \- Experience of good knowledge of KNIME is required \- Experience in ESRI GeoAI toll can be an added advantage. \- Ability to work as a team and high proficiency in executing task with precision \- Good communicaiton skills and presentation skills \- Good writing skills with experience of publication in high impact journals **Terms of the Project**: one year **Mentor**: Prafulla Parlewar **Job Title**: Professor **Organization**: School of Planning and Architecture, New Delhi, India **Email**: