Publications
My research and academic publications
Advanced Vehicle Detection Heads-Up Display with TensorFlow Lite
Proceedings of Third International Conference on Sustainable Expert Systems
This paper presents a novel approach to real-time vehicle detection on mobile devices using TensorFlow Lite. The system is designed to run efficiently on resource-constrained devices while maintaining high accuracy and low latency. The approach combines transfer learning with model optimization techniques to create a lightweight yet powerful detection system suitable for heads-up display applications in automotive safety.
Smart Moisture Sensor-Based Irrigation System
2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
This paper proposes an IoT-based smart irrigation system that optimizes water usage in agricultural applications. By combining soil moisture sensors with weather data and predictive algorithms, the system can determine optimal irrigation schedules. Field tests demonstrate significant water savings and yield improvements compared to traditional irrigation methods.
Enhanced Early Detection Of Brain Tumor Using Deep Belief Network For Improvising Human Life Span And Health
2021 Innovations in Power and Advanced Computing Technologies (i-PACT)
This research presents an improved approach to brain tumor detection using Deep Belief Networks (DBNs). The proposed method achieves higher accuracy and faster processing times compared to conventional CNN approaches, particularly when working with limited labeled data. The system is designed to assist medical professionals in early diagnosis, potentially improving patient outcomes.
Sentinel – A Neighbourhood based Live Location Streaming Safety APP for Women and Children
Revista Gestão Inovação e Tecnologias
This paper introduces Sentinel, a mobile application designed to enhance the safety of women and children through real-time location sharing and community safety features. The system incorporates emergency alerts, trusted contacts, and neighborhood watch functionality. The paper discusses both the technical implementation and the social impact potential of such safety applications.