Scalable Analytics Institute, University of California, Los Angeles :
Developing a GNN model to predict bug location in python Github projects using python code ast and text data from GitHub issues.
Continuous Analysis of Many Cameras, Purdue University :
Our aim was in centralizing and allowing access to a database containing camera feeds around the globe.
My team has completed working on an REST API to allow access to the Database. In addition to that we have created a
client in python which allows successful interaction with the API. We created scripts to check the health and accuracy
of the camera feed. After this we shifted our focus towards experiments to create a generalized solution to classify
if a web page contains camera data and if it does, we extracted the information of the camera and add to it our
database. We also created an image database which will allow the user to search for camera feed
for objects in near real time.
Publications:
Aditya Chakraborty, Akshay Pawar, Hojoung Jang, Shunqiao Huang, Sripath Mishra, Shuo-Han Chen, Yuan-Hao Chang, George K. Thiruvathukal and Yung-Hsiang Lu, “A Real-Time Feature Indexing System on Live Video Streams,” 2020 IEEE 44th Annual Computer Software and Applications Conference (COMPSAC), Madrid, Spain, 2020.
Dailey, R., Chawla, A., Liu, A., Mishra, S., Zhang, L., Majors, J., Lu, Y.-H., & Thiruvathukal, G. K. (2021, March 23). Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages. arXiv.org. https://arxiv.org/abs/2103.12286.