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portfolio
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publications
Camera-based Smart Traffic State Detection in India using Deep Learning Models
Published in 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS), 2021
In this paper, we build an intelligent traffic monitoring system using state-of-the-art deep learning models that aims to detect traffic accidents, burning vehicles, and traffic state (congestion/sparse traffic) using a single model for real-time monitoring purposes.
Recommended citation: Nimish Agarwal, (2021). "Camera-based Smart Traffic State Detection in India using Deep Learning Models." COMSNETS 2021. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9352904&tag=1
talks
Frontend Developer
Published:
Worked on a scalable web application as frontend developer, responsble for implementing advanced functionalities using backend API’s and enhancing UI/UX of the application.
Head, Web and App
Published:
Techkriti website Headed a 3-tier team of 40+ students to build a chain of 7 websites & an android application for Asia’s largest Technical and Entrepreneaurial college festival Techkriti.
Machine Learning Engineer
Published:
Developed a Brain Tumor Segmentation Software using state-of-the-art deep learning models to detect different regions of tumor in 3D MRI scan of human brain.
Summer Analyst
Published:
Worked as Data Analyst and Strategist in Cards Fraud Strategy Team under Marcus - Consumer divion of Goldman Sachs.
Built data-driven strategies backed with ML based models to capture fraud rings in credit card application space.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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