Research & Papers
Contributing to the scientific understanding of AI, NLP, and Human-Computer Interaction.
Contents
Scientific Publications
EEG Based Depression Detection Using Ensemble Approach
International Conference on Applied Intelligence and Sustainable Computing
The research focused on developing a system that can detect depression by analyzing brain activity captured through EEG signals, utilizing an ensemble approach combining multiple algorithms.
Road Conditions Indication and Autonomous Braking System
IEEE 3rd International Conference on Intelligent Sustainable Systems
Developed a Road Conditions and Obstacles Indication System with camera sensors, processing unit, and indicating device for real-time road condition analysis.
Cardiovascular Disease Prediction Using Machine Learning Models
IEEE Pune Section International Conference
Explored prediction of cardiovascular disease using ML techniques, focusing on BMI as a key feature in the prediction process.
Smart Glasses to Assist Monocular Vision to Estimate Depth
IEEE International Conference for Innovation in Technology 2020, Bangalore
Designed smart glasses to assist individuals with monocular vision using CNN and YOLOv3 for depth perception and object recognition.
A Survey: Feature Extraction Techniques And ML Models For Depression Analysis
12th Intl. Conf. on Computing, Communication, and Networking Technologies
Comprehensive study on depression detection focusing on early identification through behavior, emotions, speech, and facial expression analysis.
Patents
Smart Glasses for Monocular Vision
IN 202021034153 · Filed Aug 10, 2020, India
Integration of camera module, processing unit, communication module, and display system for object localization, detection, and segmentation.
Road Conditions and Obstacle Indication System
IN 202021009028 · Filed Mar 3, 2020, India
Architecture utilizing camera sensors, processing unit, and indicating device for detecting road conditions and obstacles using YOLOv4 and Single Shot Detection.