This project proposes the creation of plant-derived nanoparticle-based food ink for diverse textures, tastes, and flavors. The objective includes 3D printing edible articles using nano-composite bio-ink, followed by comprehensive characterization of
This project presents the design and development of an electronic nose (e-nose) for detecting organic content in soil using a sensor array. An artificial intelligence (AI) algorithm was developed to analyze and fuse data from multiple sensors, enabli
Television technology has largely captured the senses of hearing and vision but has failed to capture the experiences of organs viz. smell, taste, and touch. Therefore, the objective of this project is to augment the virtual reality experience of aud
This research project will address the problem of early depression detection by developing an intent-based chatbot application software. The chatbot application would be able to conduct various psychometric tests to detect the level of depression in
Development of a multi-sensor low-cost digital nose that can be programmed to detect abnormally high Blood Glucose Levels (BGLs) for diabetes monitoring and the prevalence of heart diseases.
In the proposed project, approaches will be implemented towards the detection of emotions by fusing the relevant details from audio, video, and audio-visual modalities. As part of the proposed work, state-of-the-art automatic emotion detection tools/
The research project deploys advanced imaging techniques to capture leaf physiological traits and analyze anatomical features in grain amaranths under heat and drought stress. It aims to connect stress phenotypes with gene networks through multi-omic
This project deals with mathematical optimization and finding of efficient image reconstruction algorithm for the detection of breast tumors over the ultrawideband range (UWB). From the onset of breast tumor formation, millions of cells die causing p
Artificial intelligence (AI)-generated app model can be downloaded to any smartphone and placed into a sensor-based device for the benefit of tea producers/farmers. AI-based app model that can distinguish tea quality traits, which can then be offered
The key objective of the proposed translational research is to enhance the planning autonomy of a drone while satisfying the human-provided instructions set. Such enhancement is essential in surveillance application scenarios, where frequent re-plann
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