ROCCYK_AI

ROCCYK_AI is a custom-built, open-source AI chatbot trained on the personal biography of Rhichard Koh. Designed as a personalized conversational agent, this project showcases how large language models can be used to create highly customized chatbot experiences.

🧠 About

This chatbot serves as an AI-powered digital twin that can answer questions, hold conversations, and share insights based on the real-life biography of its creator. The project demonstrates the capabilities of personalizing large language models for niche, individual use cases, such as portfolio enhancement, education, and digital identity applications.

🚀 Features

• 🔍 Biography-trained model: The chatbot is powered by a system prompt curated from the creator's academic and professional history.
• 💬 Conversational agent: Provides natural responses in Q&A format.
• ⚡ Groq-powered: Uses Groq's ultra-fast inference API with open-source LLMs (Llama 3.3 70B).
• 🆓 Fully free to run: No paid API required — Groq offers a generous free tier.
• 🛠️ Modular architecture: Easy to extend or adapt for other personalized use cases.
• 📖 RAG (Retrieval-Augmented Generation): Optionally supports integration with vector stores for context-based responses.

🏗️ Tech Stack

• Python
• Groq API (LLM inference — Llama 3.3 70B)
• LangChain (optional, for RAG)
• FAISS (for embedding search)
• Streamlit (frontend)

📁 Repository Structure

ROCCYK_AI/
├── ROCCYK_AI.py        # Main Streamlit app
├── requirements.txt    # Python dependencies
├── .env                # API keys (local development)
└── README.md           # Project overview

🧑‍💻 Setup Instructions

1. Clone the repository

   git clone https://github.com/ROCCYK/ROCCYK_AI.git
   cd ROCCYK_AI

2. Install dependencies

   pip install -r requirements.txt

3. Get a free Groq API key

   • Sign up at console.groq.com
   • Navigate to API Keys → Create Key

4. Prepare your .env file (for local development)

   GROQ_API_KEY=your_groq_api_key_here
   BIO=Your biography text here...

5. Run the chatbot

   streamlit run ROCCYK_AI.py

☁️ Deploying to Streamlit Cloud

1. Push your code to GitHub
2. Go to share.streamlit.io and connect your repo
3. In Settings → Secrets, add:

   GROQ_API_KEY = "your_groq_api_key_here"
   BIO = "your biography text here"

4. Deploy — no .env file needed in the cloud!

📚 Example Use Cases

• Portfolio-based AI assistant
• Personal biography showcase
• Academic or career Q&A
• Demo project for open-source LLM integration

🤖 Demo Questions

• "What program did Rhichard Koh graduate from?"
• "Describe Rhichard's work on ASL translation."
• "What AI tools has Rhichard used?"

📜 License

This project is open-source and available under the MIT License.

🙋‍♂️ Author

Built by Rhichard Koh – feel free to connect or contribute!