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The-Third-Eye-Smart-Glasses-for-the-Blind-without-Arduino
Implemented a smart glasses project for the visually impaired, using advanced IoT technologies without Arduino. The system offers real-time feedback and navigation assistance, with comprehensive documentation and code available. Aimed at enhancing accessibility and independence.Exploring-Explainable-AI-Demystifying-DT-RF-KNN-XGBC
Implemented XAI techniques to enhance transparency in fraud detection models. I employed techniques such as SHAP, LIME on DT, RF, XGBC, and KNN to offer lucid explanations for transactions that were flagged.Hybrid-Feature-Engineering-and-Ensemble-Learning
In this ML project, I proposed a methodology that provided an outperformed performance compared to another existing paper. For the comparison here focused mainly on F1, accuracy, AUC, and ROC score. This methodology provides a 99.96% accuracy score and 90.05% F1 score.ΒEnsemble-majority-voting-Hard
In this project, we implemented an ensemble learning approach using majority voting (hard voting) with five machine learning classifiers: DT, RF, XGBC, ANN, and KNN. The ensemble model achieved an impressive accuracy score of 99.95% and an F1 score of 85.51%.Love Open Source and this site? Check out how you can help us