Ongoing Initiatives
01
CareTrack
A wireless automated patient health monitoring system designed to provide real-time insights into patient well-being.
02
iDetect
An automated anomaly detection system tailored for Industrial Internet of Things (IIoT) data streams, ensuring timely identification of irregularities.
03
SafeNet IoT Scanner
Vulnerability Scanner tool meticulously crafted for IoT environments, enabling proactive identification and mitigation of security risks.
04
CyShield-IIoTID
An intrusion detection system built to fortify any IIoT System against cyber threats, offering robust protection and peace of mind.
05
MySuite
A comprehensive suite software akin to G-Suite, facilitating seamless collaboration and productivity within your workspace.
06
IntegR Scan Tool
Empowering organizations with file integrity assurance and proactive malware detection, ensuring data integrity and system security.
07
GridSense-ADS
Anomaly detection system engineered specifically for power grid systems, enabling early detection and mitigation of potential issues.
Published in a SERB Sponsored National Conference.
DOI: Link
08
SiteSync
Content Management System tailored to streamline website management, offering intuitive tools for content creation, editing, and publication.
Published Papers
GridSense-ADS: An Industrial IoT Approach for Real-time Anomaly Detection in Power Grid Systems
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Authors: Rajdeep Das, Debrup Mitra, Prof. (Dr.) Indrajit De [IEM, Kolkata]
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Publication: Proceedings of Science & Engineering Research Board (SERB, Govt. of India) Sponsored National Conference on Machine Learning In Healthcare Applications (MLHA-2024).
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Publication Date: April 2024
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DOI: Link
Revolutionizing Real-Time Communication: A Practical Implementation of MQTT in a Secure and Scalable Custom Chat Application
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Authors: Rajdeep Das, Vaishnavi Sharma, Nirjhar Pal
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Publication: International Journal for Research in Applied Science & Engineering Technology
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Publication Date: December 2023
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DOI: Link
Accelerated Safety: Revitalizing ADXL345 for Enhanced IoT-enabled Fall Detection
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Authors: Rajdeep Das
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Publication: International Journal for Research in Applied Science & Engineering Technology
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Publication Date: December 2023
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DOI: Link
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