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Project # 12
DeepChatBI
| Team Lead: | Guojie Tang |
| Other Team Members: | Yuhen Chen | Xiaoning Zhai | Gang Chen |
| Faculty Advisor(s): | Farahanipad Farnaz |
| Department: | CSE |
| Project Type: | Graduate Student |
| Title: | DeepChatBI |
| Abstract: | DeepChatBI is a Business Intelligence and LLM tool for data analysis. DeepChatBI is an innovative Business Intelligence (BI) platform integrating large language models (LLMs) with data warehouse technologies to deliver intelligent, automated data analysis for enterprises. Targeting the growing demand for efficient data-driven decision-making, the product addresses key challenges in root-cause analysis, natural language query processing, and dynamic insight generation. By leveraging LLMs, DeepChatBI enables users to interact with complex datasets via intuitive natural language interfaces, automating tasks such as SQL generation, anomaly detection, and data interpretation. Its MVP version focuses on data integration with MySQL, automated report generation and AI-powered diagnostic analytics. The project combines technical innovations in LLM optimization and distributed data processing to bridge gaps in accuracy and affordability within the BI sector. |
| Poster: | View Poster #12 (PDF) |
| Judges Scoring: | Submit Evaluation (judges only) |