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Advances secure computations on encrypted data for public health applications, improving data privacy and enabling safe sharing across devices.
Simplifies Indian legal text into actionable data, enabling multilingual access to FAQs and promoting legal literacy across diverse populations.
Builds a multilingual platform for legal information processing using cognitive computing and semantic linked data, ensuring equitable legal resource access.
Develops tools to detect privacy leaks and biases in deep learning models, ensuring secure deployment in real-world applications.
Enhances dialogue systems with multi-modal emotion detection and topic-aware summarization for improved understanding and communication.
Designs a chatbot to provide empathetic counseling and legal assistance for victims of harassment and abuse, supporting multilingual communication.
Utilizes representation learning to characterize functional heterogeneity in cancer, revolutionizing research and personalized treatment.
Maps odor-receptor interactions using AI, linking molecular tuning with olfactory receptors for medical and computational advancements.
Develops an AI-powered platform for ASHAs, improving access to maternal and child healthcare knowledge and decision-making in underserved regions.
Analyzes India-specific genetic variations to improve drug efficacy and personalization in maternal and child healthcare treatments.
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