Handwritten Signature Authenticity Verification System April 2024:
Developed a cutting-edge system for authenticating handwritten signatures, aimed at revolutionizing signature verification processes and bolstering security measures.
Posts by Collection
portfolio
LLM-Powered Coupon Recommender November 2023
Developed an innovative Q&A system for e-commerce platforms, specializing in personalized coupon and offer recommendations using OpenAI’s large language models (LLMs).
Document Extraction Named Entity Recognition March 2024:
Developed an AI model for extracting metadata from various document formats, including images (PNG, JPG) and documents (DOC), with a focus on Table of Contents extraction.
Hate Speech Prediction October 2023
Developed a robust hate speech detection algorithm aimed at classifying speech as normal or blocked to facilitate content filtration. 
PeopleCare Insurance Prediction October 2023
Analyzed PeopleCare’s expansion into vehicle insurance through the implementation of a predictive model for more effective customer targeting.
Machine Failure Prediction September 2023
Conducted an extensive investigation of a Milling machine to proactively identify and prevent machine failures, focusing on enhancing operational reliability. 
Pet Mind EDA February 2023
Conducted a comprehensive analysis of Pet Mind data, a US-based retailer of pet products, with the goal of boosting sales through increased repeat purchases of everyday pet products.
Data Driven Model for Anomaly Detection and Path Prediction July 2022 - April 2023
Investigated and enhanced the Automatic Identification System of cargo vessels for anomaly detection and path prediction.
Federated Learning on Multiclass Classification June 2022
Implemented a federated learning algorithm as a security and privacy-preserving approach to training machine learning models.
publications
Suspicious Event Detection of Cargo Vessels Based on AIS Data
Published in Springer, 2023
This paper highlights the critical need for monitoring cargo ship vessels to mitigate supply chain disruptions, proposing a statistical approach based on time difference and speed over the ground to set threshold limits for efficient surveillance. 
Recommended citation: Radhakrishnan, H.K., Sundar, S., Bharath, R., Ramanarayanan, C.P. (2023). " Suspicious Event Detection of Cargo Vessels Based on AIS Data "
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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