Spaces:
Sleeping
Sleeping
| 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 | |