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: prafulla.parlewar@spa.ac.in