README.md

metadata

title: Adda-Bot Interactive Agent
emoji: 🐈‍⬛
colorFrom: purple
colorTo: purple
sdk: gradio
sdk_version: 5.0.0
app_file: app.py
pinned: false

Adda-Bot Interactive Agent 🐈‍⬛

🐈‍⬛ Meet Nova's human! Chat with Adda's AI portfolio agent.

✨ About Adda-Bot 🐈‍⬛

Welcome! I am an interactive AI agent designed to help you explore Adda Weathers' background, technical projects, and professional journey.

Rather than just reading a static resume, you can ask me specific questions like:

• "What is Adda's experience with Python and AI?"
• "Tell me about her favorite projects."
• "What did she achieve in her current role?"

🛠️ Technical Stack

I'm not just a simple chatbot; I'm built using a modern RAG (Retrieval-Augmented Generation) architecture:

• LLM: Llama 3.2 3B (via Hugging Face Inference Providers)
• Orchestration: LangChain
• Vector Database: ChromaDB
• UI: Gradio 6.0
• Data: Custom Markdown-based knowledge base of Adda's portfolio.

🐾 Fun Fact

I'm named after my creator, Adda, but I take my "stealthy efficiency" cues from her cat, Nova.

🚀 Why This Matters for Recruiters

In a sea of PDF resumes, Adda-Bot demonstrates three key high-level competencies that are essential for modern AI and Software Engineering roles:

1. Practical RAG Implementation: Most developers can prompt an AI, but building a Retrieval-Augmented Generation (RAG) pipeline requires understanding how to process data, manage vector embeddings, and handle context windows. This bot is a live proof-of-concept of my ability to build production-ready AI architectures.

2. Solving the "Information Overload" Problem: Recruiters often have to hunt through pages of text to find a specific skill. This bot respects your time by allowing for natural language querying. Instead of scanning for "Python," you can simply ask, "How has Adda applied Python in a professional setting?" and get an instant, cited answer.

3. Full-Stack AI Thinking: This project showcases the full lifecycle of a feature: from data engineering (Markdown parsing) to backend logic (LangChain & ChromaDB) and UI/UX design (Gradio with custom CSS). It proves I can take a concept from a blank page to a deployed, user-facing application.

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference