AI Hub — Internal AI Agent Platform
Platform
- Internal self-service AI platform with 15+ specialized agents covering data cleaning, quality, anomaly detection, segmentation, forecasting, modeling, and content generation.
- Modular architecture enabling non-technical business users to upload datasets and generate insights without code.
- Streamlit-based interfaces, scikit-learn / classical ML core, optional LLM augmentation per agent.
LLM
Multi-Agent
Streamlit
scikit-learn
Self-Service AI
MLOps
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AI-Driven Email Automation System
Automation
- Automated email workflows using n8n, LLM APIs, and Brevo with conditional logic and segmentation.
- Google Sheets integration for dynamic campaign management.
n8n
LLM APIs
Workflow Automation
Brevo
Google Sheets
Address Validation System & Model Comparison
NLP
- NLP-based address error detection with hybrid rule-based + ML approaches.
- Compared XGBoost, LightGBM, and CatBoost; optimized with threshold tuning.
- Model selection based on business requirements and evaluation metrics.
NLP
XGBoost
LightGBM
CatBoost
Threshold Tuning
Model Comparison
Domain-Adaptive NER Research on Customer Complaints
Research
- Comparative study of NER vs DSNER on banking customer complaints from social media.
- Domain adaptation techniques for banking-specific entity recognition, preparing for publication.
NER
DSNER
Domain Adaptation
Comparative Analysis
MLOps for Smart Logistics
MLOps
- ML pipelines using MLflow for experiment tracking, hyperparameter tuning, and model lifecycle management.
MLflow
Experiment Tracking
Hyperparameter Tuning
Model Lifecycle
GitHub →
AI-Powered Book Recommendation Platform
Recommendation
- Context-aware recommendation system with data pipelines for feature extraction and personalization.
- Full UI design and frontend development with domain integration.
Recommendation System
Context-Aware Design
Frontend Development
UI Design
Stroke Prediction
ML
- Prediction pipeline combining healthcare datasets with ElasticNetCV and cross-validation.
ElasticNetCV
Cross-Validation
Scikit-learn
Pandas
GitHub →
Flavor Predictor
ML
- Flavor recommendation via decision tree classifier based on age and gender inputs.
Decision Tree
Scikit-learn
Pandas
Tabular Data
GitHub →
Prediction of Customers' Employment Type
ML
- Multiclass logistic regression for employment type prediction from insurance data with EDA.
Logistic Regression
Scikit-learn
Seaborn
Classification
GitHub →