Contributing to the scientific understanding of AI, NLP, and Human-Computer Interaction.
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.
View on IEEE ↗
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.
View on IEEE ↗
IEEE Pune Section International Conference
Explored prediction of cardiovascular disease using ML techniques, focusing on BMI as a key feature in the prediction process.
View on IEEE ↗
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.
View on IEEE ↗
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.
View on IEEE ↗IN 202021034153 · Filed Aug 10, 2020, India
Integration of camera module, processing unit, communication module, and display system for object localization, detection, and segmentation.
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.
Medium
Discusses the dependency of the Indian pharmaceutical industry on China for APIs and potential solutions.
Read Article ↗
Medium
Highlights growth and export figures of the Indian pharmaceutical sector and increasing competition from China.
Read Article ↗Exploring LLMs, Hugging Face, LLaMA, and RAG for applied NLP tasks.
Sentiment analysis, topic modeling, and named entity recognition.
Probabilistic models, clustering algorithms, and optimization methods.
Hive, Hadoop, and Spark for large-scale data processing.
Dashboards, statistical analysis, and A/B testing frameworks.
Object detection, CNNs, YOLO architectures, and transfer learning.