- Multimodal Cancer Detection: CT ROI extraction, biomarker modelling, and multimodal fusion for cancer detection.
- Credit Card Fraud Detection: Fraud detection on highly imbalanced transaction data using XGBoost and SMOTE.
- Telecom Churn Case Study: Churn prediction with feature engineering and classification workflows on large telecom datasets.
Pinned Loading
-
AI_Job_Application_Agent
AI_Job_Application_Agent PublicA multi-agent tool for job application automation, resume tailoring and job scraping
Python
-
Github_Agent
Github_Agent PublicAn AI agent that analyzes your GitHub profile and repositories using the GitHub API, then generates personalized, actionable improvement suggestions with GPT-5(mini) and GPT-5.4. Ideal for job seek…
Python
-
HelpmateAI_RAG_QA_System
HelpmateAI_RAG_QA_System PublicHelpmateAI is a long-document QA app for PDFs and DOCX with hybrid retrieval, citation-aware answers, evidence panels, and a Next.js with FastAPI stack.
Python
-
Multimodal_Cancer_Detection
Multimodal_Cancer_Detection PublicBias-aware multimodal pancreatic cancer detection using CT imaging and urinary biomarkers, with ResNet50 CT modelling, biomarker MLP classification, and exploratory fusion analysis.
Jupyter Notebook
-
Credit_Card_Fraud_Detection
Credit_Card_Fraud_Detection PublicDetecting fraudulent transactions from real-world anonymized credit card data using XGBoost and SMOTE. Achieved 97%+ ROC-AUC on a highly imbalanced dataset.
Jupyter Notebook
-
Telecom_Churn_Case_study
Telecom_Churn_Case_study PublicPreprocessed customer-level telecom data with 70,000+ rows and 172 features to determine variables that lead to churn. Applied feature engineering, imputation strategies, and classification modelin…
Jupyter Notebook
If the problem persists, check the GitHub status page or contact support.
