Prottay Kumar Adhikary
Indian Institute of Technology Delhi, International Institute of Information Technology, Hyderabad, National Institute Of Technology, Silchar
About
Engaged in groundbreaking research in the domain of Mental Health while enrolled as a PhD in Computer Technology at IIT Delhi, I am a highly motivated individual who recently graduated from NIT Silchar with a specialization in Computer Science & Engineering. With a keen interest in Natural Language Processing (NLP), I have conducted extensive research in the field, exploring innovative solutions to enhance language understanding and communication. My contribution to NLP has equipped me with strong analytical skills and the ability to develop effective algorithms and models. Passionate about leveraging technology to transform the way we interact with language, now I am seeking opportunities to contribute to the advancement of NLP in real-world applications.
Employment
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Indian Institute of Technology Delhi Research Assistant2023 - 2023
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International Institute of Information Technology, Hyderabad Machine Learning Intern2023 - 2023
Education
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Indian Institute of Technology Delhi PhD2024 - Present
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National Institute Of Technology, Silchar B. Tech2019 - 2023
Projects & Funding
Projects & funding information is unavailable.
Publications (15)
- coTherapist: A Behavior-Aligned Small Language Model Framework to Support Mental Healthcare Experts Save
- Menstrual Health Education Using a Specialized Large Language Model in India: Development and Evaluation Study of MenstLLaMA Save
- Clinically Grounded AI-Scribing in Psychotherapy: Benchmarking LLMs Against Expert Documentation in the iCARE Framework Save
- MenstLLaMA: A Specialized Large Language Model for Menstrual Health Education in India Save
- Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: Benchmark Study Save
- TRAVID: An End-to-End Video Translation Framework Save
- CNLP-NITS at SemEval-2023 Task 10: Online sexism prediction, PREDHATE! Save
- Dzongkha Handwritten Digit Recognition using Machine Learning Techniques Save
- Leveraging GPT-2 for automated classification of online sexist content Save
- Investigation of negation effect for English–Assamese machine translation Save