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| dc.contributor.author | Parves, K. M. Tousif Bin | |
| dc.contributor.author | Islam, Saqiul | |
| dc.date.accessioned | 2025-04-27T09:56:18Z | |
| dc.date.available | 2025-04-27T09:56:18Z | |
| dc.date.issued | 2025-02-01 | |
| dc.identifier.uri | http://ar.cou.ac.bd:8080/xmlui/handle/123456789/91 | |
| dc.description.abstract | The Academic Assistant is an AI-powered robot designed to enhance educational and research experiences. It leverages a fine-tuned DeepSeek 1.5B language model with Retrieval-Augmented Generation (RAG) to provide accurate, context-aware responses to academic queries. The system integrates a humanoid robot with sensors, a Raspberry Pi 3, and Google TTS for interactive, real-time engagement. Key metrics show a BLEU score of 0.480, ROUGE-1 of 0.820, ROUGE-2 of 0.700, and ROUGE-L of 0.820, indicating high accuracy and recall. By continuously learning from user feedback through reinforcement learning, it improves response quality. This aims to revolutionize education by offering personalized, reliable academic support, making learning more accessible and engaging for students, educators and researchers alike | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Comilla University | en_US |
| dc.subject | L - Location | en_US |
| dc.subject | O - Objective | en_US |
| dc.subject | C - Constraints | en_US |
| dc.subject | Technological Constraints | en_US |
| dc.subject | Performance Constraints | en_US |
| dc.subject | Learning Constraint | en_US |
| dc.subject | S - Stakeholders | en_US |
| dc.subject | Students | en_US |
| dc.subject | Educators | en_US |
| dc.subject | Researchers | en_US |
| dc.subject | H - Human Factors | en_US |
| dc.title | Academic Assistant : | en_US |
| dc.title.alternative | A Robotic System Powered by Retrieval-Augmented Generation and Fine-Tuned LLMs for Interactive Learning | en_US |
| dc.type | Other | en_US |
