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GitHub topics: web-based-ml

SuryaVamsi-P/Loan-Default-Prediction-System-Flask-ML

Built and deployed a Flask-based machine learning system to predict loan default risk using customer demographics and financial indicators. Applied advanced ensemble models like XGBoost and LightGBM to achieve ~99% accuracy. Designed a full-stack solution with real-time prediction capabilities, enabling faster, smarter loan decisions in banking.

Language: Python - Size: 185 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

Eduardo-J-Morales/NeuroFlow-AI

This web app uses an AI model trained with TensorFlow.js to guess if a (fake) person would be "focused" or "distracted" based on simulated brain waves (alpha/beta/gamma) generated every second.

Language: JavaScript - Size: 89.8 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

Related Keywords
web-based-ml 2 real-time-prediction 2 banking-analytics 1 ai-dashboard 1 attention-monitoring 1 brain-computer-interface 1 brain-visualization 1 cognitive-interface 1 cognitive-science 1 deep-learning 1 eeg-analysis 1 explainable-ai 1 focus-detection 1 human-coputer-interaction 1 neural-networks 1 neurofeedback 1 neurotechnology 1 react-three-fiber 1 tfjs 1 webgl 1 credit-risk-modeling 1 ensemble-learning 1 financial-predictions 1 flask-webapp 1 lightgbm 1 loan-approval-system 1 loan-default-prediction 1 loan-risk-analysis 1 machine-learning 1 model-deployment 1 model-interpretability 1 pickle-model 1 predictive-modeling 1 python-project 1 risk-assessment 1 scikit-learn 1 xgboost 1