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rsharvesh16/README.md

Hi , I'm Sharvesh R

Am currently an undergraduate (B.Tech IT) student. Am passionate about learning Software Development.

Coding

  • 🔭 I’m currently working on LLM, Agents and DevOps

  • 🌱 I’m currently learning AI/ML, LLM, Agents and Software Development

  • 👯 I’m looking to collaborate on Software Development

  • 🤝 I’m interested in Software Development

  • 👨‍💻 All of my projects are available at https://github.com/rsharvesh16

  • 💬 Ask me about anything, If I know, I'll let you know.

  • 📫 How to reach me: rsharvesh16@gmail.com


Connect with me:

rsharvesh16 rsharvesh_official rsharvesh16


Languages and Tools:

cplusplus git linux python scikit_learn sqlite Numpy  Pandas 

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  1. SmartDoc-Document-Processing-With-LLM SmartDoc-Document-Processing-With-LLM Public

    SmartDoc is an intelligent document processing system that leverages OCR and LLM integration to convert, analyze, and extract valuable information from PDFs. This project provides a user-friendly i…

    Python 3

  2. ResqAI ResqAI Public

    ResqAI is an AI-driven emergency companion that provides real-time weather forecasts, earthquake data, disaster analysis, and emergency response plans to help you stay prepared and informed. Stay s…

    Python 3 3

  3. Predict-IT-CropPrediction Predict-IT-CropPrediction Public

    Jupyter Notebook 1 5

  4. RAG-App-AWS RAG-App-AWS Public

    The "Chat with PDF using AWS Bedrock" application is a Retrieval-Augmented Generation (RAG) system that allows users to interact with PDF documents through a chat interface.

    Python 1

  5. StudTics StudTics Public

    This project is an AI-powered Advanced Student Analytics Dashboard that processes student data files to provide detailed performance insights, personalized improvement suggestions, and data-driven …

    Python

  6. Xl-AI Xl-AI Public

    The Xl-AI is a Streamlit app that uses Amazon Bedrock's Mistral LLM and FAISS to analyze CSV data and answer user queries in natural language. It provides context-driven insights with dynamic updat…

    Python 1