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daniela-veloz/README.md

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Open-Source Projects

AI/ML Projects

Title Description Key Technologies Live Demo
Web Page Summarizer Advanced prompt engineering to reduce hallucinations in summaries. Added context window management and robust content extraction pipelines to ensure reliable, consistent results. It's not just “a summary,” but one you can trust, including a TL;DR because everyone is busy. LLM, Prompt Engineering, Context Management link
Adventure Weather Assistant Multi-tool orchestration combining real-time weather APIs with local event data. Supports conversation history and context injection for personalized travel & activity planning. Perfect for trip planning when you’re not sure what the weather will be, but still want to do something exciting! Multi-Tool Orchestration, Conversation History, Context Injection link
Nutri-Care AI A RAG-based nutrition chatbot using ChromaDB for vector storage and LangGraph for agent workflows. Includes live evaluation, self-correction, and content moderation, because health advice must be accurate and safe. RAG, ChromaDB, LangGraph, Memory Management, Content Moderation link
LLM Notebooks Jupyter playground for LLM experimentation and learning Prompt Engineering, Groundedness Scoring, Model Evaluation, etc

Other Projects

Title Description Key Technologies
WebSocketChat Prototype Chat using WebSockets Python(server), Flask + JavaScript(client), sqlite(persistance)
WebCrawler Prototype WebCrawler Python, asyncio, httpx, BeautifulSoup
Go cshell custom Cshell Go

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  1. llm_notebooks llm_notebooks Public

    LLM and AI projects Notebooks

    Jupyter Notebook

  2. webpage-summarizer webpage-summarizer Public

    Get personalized activity recommendations based on real-time weather and local events!

    Python

  3. adventure_weather_assistant adventure_weather_assistant Public

    web content summarization tool that extracts and condenses webpage information using advanced AI models.

    Python

  4. nutri_care_ai nutri_care_ai Public

    AI-powered nutrition care system using RAG for document processing and intelligent querying

    Jupyter Notebook