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AIDS/AIMLGenerative AI & Data ScienceIEEE Final Year Projects
Generative AI Data Synthesizer for Imbalanced Tabular Banking Datasets
Conditional Tabular GAN (CTGAN) and TVAE engine generating mathematically valid synthetic credit records with preserved correlations.
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Project Technical Overview
Empowers data science teams to train models on proprietary banking data without violating customer privacy. CTGAN models mixed continuous and discrete data distributions, producing synthetic datasets that pass Kolmogorov-Smirnov correlation tests.
IEEE ResearchStandard Publication & Conference Literature
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.
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NodeMCU (ESP8266)