This are my project based learning with Anti Fraud's Model implementation and Sentiment analysis based on headline's news with correlation in banks and economic's news.
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Aug 5, 2025 - TypeScript
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bank-scam
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Scotiabank x UofT Competition. Building an AI model using 6.1k+ real transaction data. Mock data has been added for this repo.
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Apr 23, 2026 - Jupyter Notebook
🕵️ An autonomous, unsupervised ML (Isolation Forest) credit card fraud detection pipeline. It catches suspicious financial anomalies using relational data engineering and behavioral features without relying on a single fraud label. Meet "Sentinel," named after the legendary Transformers character. 🛡️🤖
machine-learning credit-card-fraud data-engineering unsupervised-learning fraud-detection anomaly-detection isolation-forest bank-scam financial-security
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Jun 16, 2026 - Python
Detecting Fraud Transactions using the Credit Card Fraud Detection dataset
machine-learning random-forest numpy scikit-learn credit-card pandas seaborn feature-selection xgboost classification logistic-regression matplotlib support-vector-machines imbalanced-data fraud-detection sgd-classifier credit-card-fraud-detection ridge-classifier bank-scam
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Jul 4, 2025 - Jupyter Notebook
MyAI Future Hackathon is a national AI innovation challenge organised by Google Developer Groups on Campus Universiti Teknologi Malaysia (GDGoC UTM) under the Build with AI initiative. The mission is to bring builders together to tackle real-world and national challenges across areas such as Agrotech, GovTech, Healthcare, Smart Cities, and FinTech
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Apr 30, 2026 - TypeScript
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