Portfolio item number 1
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A multilingual AI-driven platform that allows users to ask agriculture-related questions in text or audio (Bangla/English). It retrieves relevant information from a vector database and generates detailed responses using a Large Language Model (LLM), providing answers in both text and speech formats.
Developed a scalable machine learning backend framework for efficient data processing, model deployment, and API services, enabling seamless integration of ML models into production environments.
An AI-powered tool that processes and analyzes uploaded research papers in PDF format. Using a custom-built Large Language Model (LLM), the bot extracts key insights, providing quick summaries and answers to specific questions, saving time and enhancing research efficiency in our agriculture startup.
Developed a computer vision-based system combined with regression models to accurately estimate water height in rice fields. This solution automates the measurement process, improving irrigation management by providing real-time, precise water level data for better resource allocation and crop management.
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
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Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Published:
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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