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1. A-Fine-Tuned-Model-for-Medical-Named-Entity-Recognition-using-Gemini-LLM A-Fine-Tuned-Model-for-Medical-Named-Entity-Recognition-using-Gemini-LLM Public

   In this we finetuned the Gemini model with our own medical NER dataset and used to recognize Name Entities

   Jupyter Notebook 2

2. GRC-Consultant-agent-using-GROQ-Function-Calling GRC-Consultant-agent-using-GROQ-Function-Calling Public

   In this we implement agent which knows all about GRC(Governance, Risk and Compliance)

   Jupyter Notebook

3. RAG-based-Intelligent-Conversational-AI-Agent-for-Knowledge-Extraction-Using-LangChain-Gemini-LLM RAG-based-Intelligent-Conversational-AI-Agent-for-Knowledge-Extraction-Using-LangChain-Gemini-LLM Public

   In this we implements a Retrieval-Augmented Generation (RAG) based conversational AI agent designed for intelligent knowledge extraction from PDF documents. Leveraging LangChain and Google’s Gemini…

   Jupyter Notebook 5

4. Multi-CrewAI-Agents-for-Automated-Research-Medical-Insights Multi-CrewAI-Agents-for-Automated-Research-Medical-Insights Public

   In this we implement multiple crewai agents using gemini-2.0-flash-exp and we implement the agents like Senior Data Researcher, Reporting Analyst ,Medical Researcher and Clinical Expert

   Jupyter Notebook

5. Automated-Code-Generation-and-Execution-Agent-using-LangChain-and-Cohere-LLM Automated-Code-Generation-and-Execution-Agent-using-LangChain-and-Cohere-LLM Public

   In this we implement an agent which generates and executes code using cohere LLM and langchain

   Jupyter Notebook

6. Qwen2-Vision-Finetuning-Unsloth---Maths-OCR-Formulae-Extraction- Qwen2-Vision-Finetuning-Unsloth---Maths-OCR-Formulae-Extraction- Public

   we finetune unsloth llama model to extract mathematical fomulas in the images with optical character recognition(OCR)

   Jupyter Notebook 3