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adityanaranje/README.md

Hey 👋, I'm Aditya Naranje

🚀 Data Enthusiast | 🧠 GenAI Explorer | 🎯 Problem Solver | 💡 Lifelong Learner

## 👨‍💻 About Me 
     A data guy with a creative twist 🎨

     • 🔭 Currently building tools using Generative AI & LLMs  
     • 🌱 Learning full-stack app dev for AI-powered tools  
     • 🤖 Interested in ML, LangChain, Streamlit, and automation  
     • 🏏 Off-screen: cricket, volleyball, mobile gaming & sketching

🌍 Top Languages

My Projects ⏫

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From: 13 March 2026 - To: 20 March 2026

Total Time: 3 hrs 46 mins

Python       1 hr 42 mins          ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣤⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   45.19 %
JavaScript   1 hr 17 mins          ⣿⣿⣿⣿⣿⣿⣿⣿⣦⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   33.95 %
Text         37 mins               ⣿⣿⣿⣿⣄⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   16.70 %
CSS          8 mins                ⣷⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   03.57 %
Bash         0 secs                ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.32 %

📊 GitHub Stats

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  1. Agent-Builder-Research-Agent Agent-Builder-Research-Agent Public

    An AI-powered research assistant that uses multiple specialized agents to classify queries, gather credible information, and generate concise insights and reports in real time.

    Python 2

  2. CODEVO CODEVO Public

    AI-powered tool for automated GitHub code review and intelligent code generation using LLMs.

    Python 2 1

  3. EMAIL-SUMMARY-AGENT-TELEGRAM EMAIL-SUMMARY-AGENT-TELEGRAM Public

    AI system that extracts job emails from Gmail and sends structured alerts to Telegram.

    Python 1

  4. ISOLATED-RAG-CHATBOT ISOLATED-RAG-CHATBOT Public

    Dockerized isolated RAG chatbot using OpenAI and Pinecone with bot-level context separation

    Python 1

  5. n8n-WhatsApp-Bot n8n-WhatsApp-Bot Public

    Automated WhatsApp chatbot built with n8n, docker desktop to manage orders, inventory, and customer queries for a mobile store.

    1

  6. RAG-Chatbot-AWS-Bedrock-Agentcore RAG-Chatbot-AWS-Bedrock-Agentcore Public

    RAG-based fitness chatbot on Amazon Bedrock AgentCore using FAISS for retrieval, Groq (Llama-3.3-70B) for responses, and AgentCore Memory for chat history.

    Python 1