This repository contains selected projects completed during my internship. The focus is on machine learning, deep learning, and large language model (LLM) based systems.
- Retrieval-Augmented Generation (RAG) architecture
- Agent-based reasoning pipeline
- Vector search and context-aware response generation
Folder: 01-rag-cognee-agent
- Domain-specific GPT application for healthcare-related queries
- Prompt engineering and controlled response generation
- Emphasis on ethical AI usage
Folder: 02-saglikgpt
- End-to-end regression pipeline
- Data preprocessing, feature engineering, and model evaluation
- Performance metrics and result interpretation
Folder: 03-regression-final
- Convolutional Neural Network (CNN) for image classification
- Malaria cell image analysis
- Deep learning model training and evaluation
Folder: 04-cnn-malaria
- Large datasets and trained model files are excluded due to size limitations.
- Each project folder contains detailed documentation and source code.