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LordSpudnik (Subash Venkat) · GitHub

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LordSpudnik/README.md

💫 About Me:

🔭 I'm currently working on SecAI, a privacy-first RAG assistant that runs fully local with zero external API calls

👯 I'm looking to collaborate on AI security tools and on-device ML systems that don't ship user data to the cloud

🤝 I'm looking for help with scaling vector search performance in ChromaDB for large document sets

🌱 I'm currently learning system design and advanced model deployment pipelines

💬 Ask me about intrusion detection systems, RAG pipelines, or NLP for mental health applications

⚡ Fun fact: My intrusion detection model has caught more simulated Nmap scans than actual hackers have tried on me

🌐 Socials:

💻 Tech Stack

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  1. SecAI SecAI Public

    SecAI is a fully local AI assistant with Retrieval-Augmented Generation (RAG), built using FastAPI, React, PostgreSQL, ChromaDB, Ollama, and Docker. Upload documents, chat with a local LLM, and get…

    Python

  2. Sentin_AI Sentin_AI Public

    Forked from AKILAN-VS/Sentin_AI

    SentinAI is an anomaly-based Network Intrusion Detection System that uses XGBoost trained on CICIDS-2017 to detect DDoS, port scans, and unknown threats by learning normal traffic behavior — achiev…

    Jupyter Notebook

  3. MindfulMe MindfulMe Public

    MindfulMe is a privacy-preserving mental health assessment system that performs sentiment analysis, suicide risk detection, and PHQ-9/GAD-7 scoring entirely on the user’s machine. It uses a hybrid …

    HTML 1

  4. Real-Time-Weather Real-Time-Weather Public

    Real-Time-Weather is a web application that provides up-to-date weather information using JavaScript, Python, HTML, and CSS. It fetches and displays real-time weather data for any location, offerin…

    JavaScript 1 1

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