Projects
-
LiDAR Data Segmentation and Labeling
Prof. Bharat Lohani,
Department of Civil Engineering, IIT Kanpur
Semester 2022-23-II | CE676A Project
Developed high-quality labeled data for training deep learning models in LiDAR point cloud
segmentation using CloudCompare. Addressed labeling inaccuracies and reduced manual
classification errors.
[slides, report]
-
Finding Optimal Sites for Check Dams using Analytical Hierarchy
Process (AHP)
Prof. Bharat Lohani,
Department of Civil Engineering, IIT Kanpur
Semester 2022-23-II | CE432A Project
Team: Aman Kumar Singh, Tarun Yadav, Ritik Raj, Nikhil Singh & Utkarsh
Srivastava
Identified optimal sites for check dams using AHP in Chehalka, Haryana, by evaluating soil type,
geomorphology, runoff coefficient, slope, and stream order on a watershed basis.
[slides, report]
-
Lit. Review: LiDAR-Based Detection and Tracking of Pedestrians and Vehicles on
Road
Prof. Aditya Medury, Department of Civil Engineering, IIT Kanpur
Semester 2023-24-II | CE687 Literature Review
Conducted a literature review on LiDAR-based detection and tracking of pedestrians and vehicles. Designed a study specific to India’s unique traffic conditions to explore potential research gaps.
[literature review]
-
Undergraduate Project (UGP-I): Survey Camp at Arogyadham DRI Chitrakoot
Prof. Onkar Dikshit, Department of Civil Engineering, IIT Kanpur
Semester 2022-23-II | CE332A Survey Camp
Team: Aman Kumar Singh, Alok Kumar Mishra, Ayush Pratap Singh, Divyansh Patel
& Ravi
Kumar
Conducted a comprehensive survey of Aarogyadham, Chitrakoot, establishing 12 control points and creating a detailed topographic map. Performed Juno mapping of Kamadgiri hills and profiled a 315 m road stretch.
[slides, report, topo map, juno map]
-
Digital Twins in Construction Management
Prof. Chirag Kothari, Department of Civil Engineering, IIT Kanpur
Semester 2023-24-I | CE441B Industry Seminar Presentation & Report
Examined applications of Digital Twins in urban planning and construction 4.0. Delivered a seminar on the benefits and industrial use cases of digital twin technologies for smarter city management.
[slides, report]
-
Deep Learning for Deepfakes Creation and Detection
Prof. Nishchal K. Verma, Department of
Electrical Engineering, IIT Kanpur
Semester 2023-24-II | EE656 Term Project
Surveyed deep learning algorithms used in the creation and detection of deepfakes along with addressing privacy and security challenges posed by these technologies.
[slides, report]