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Srijha09/README.md

Who am I?

  • 🔭 Actively building end-to-end systems: RAG pipelines, document intelligence, scalable data workflows, and model deployment.
  • 🌱 Interested in bridging research-grade models with real production constraints: retrieval, evaluation, MLOps, and AWS-native GenAI stacks.
  • ⚡ Outside tech, I’m a self-taught artist exploring realism and abstract acrylic work.

Where to find me?

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  1. Detecting-Depression-with-a-Flask-Application Detecting-Depression-with-a-Flask-Application Public

    Flask based application using to detect depression for transcripts of interviews from patients

    Jupyter Notebook 1 4

  2. arviz arviz Public

    Forked from arviz-devs/arviz

    Exploratory analysis of Bayesian models with Python

    Python

  3. Multimodal_LLM_Document_Bot Multimodal_LLM_Document_Bot Public

    Advanced multimodel multilingual LLM chatbot that used Langchain, LLama Parse, OCR and RAG . Mistral AI and LLama2 7b used

    Python

  4. Agentic-Multi-Modal-Interview-Readiness-Coach-IRC- Agentic-Multi-Modal-Interview-Readiness-Coach-IRC- Public

    Intelligent interview prep system: analyzes resume/JD, identifies skill gaps, generates adaptive study plans, provides AI-evaluated practice, tracks mastery. LangChain + FastAPI + React.

    Python

  5. Ask-the-Web-Agent Ask-the-Web-Agent Public

    Ask the Web Agent is a lightweight full-stack AI app that searches the web in real time and summarizes answers using a local LLM via Ollama. It combines FastAPI, DuckDuckGo search, and a React UI t…

    Python