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FINAL YEAR PROJECT REPORT [FYP] - C.A.T.E-AI-SAAS : CC101 : APR 2025

UMMI HAANI, SHAHRUL (2025) FINAL YEAR PROJECT REPORT [FYP] - C.A.T.E-AI-SAAS : CC101 : APR 2025. Project Report. UPTM.

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Abstract

The C.A.T.E. (Compiler Assistant Technical Entrecties) project was an effort to create an educational tool, powered by AI, for academic users, computer science students, and faculty, that would provide context aware, verified assistance, a minimalistic education focused interface, and predictive resource management that would be flexible to the needs of the institution. The project’s outcomes are evaluated and the complete implementation of advanced NLP and verification tools (such as Wolfram) for accurate technical assistance, a distraction free UI optimized for academic workflow, and partial adaptability through task management and institutional customization are noted. Analysis of comparative shows out perform of competitors like ChatGPT and Gemini, and Masco Copilot in terms of both accuracy and speed besides user satisfaction. But one limitation was that it lacked multi modal capabilities (such as image and audio processing), another was scalability to larger institutions and the lack of user explainability features resulting in transparency. This was achieved by iterating through preliminary testing and resource prioritization and gained significant insights into AI development and the design academic tools. Future work calls for more reach in the multiple modality capabilities, better infrastructure for scalability, and more explainability features to build user trust and C.A.T.E. continues to be a painless and competitive technology to provide education in technical disciplines.

Item Type: Monograph (Project Report)
Uncontrolled Keywords: C.A.T.E-AI-SAAS,CC101 :
Divisions: Faculty of Computing and Multimedia (FCOM)
Depositing User: Mrs Shariffah Shuhaiza Syed Mohd Nor
Date Deposited: 05 Jun 2025 06:44
Last Modified: 05 Jun 2025 06:44
URI: http://eprints.kuptm.edu.my/id/eprint/4245

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