🗼 Lighthouse GenerativeAI Application

A web-based platform harnessing AI to provide users with comprehensive information about lighthouses.

🎯Objective:

To offer users accurate and engaging details about lighthouses through the synergy of Generative AI and an extensive lighthouse database.

🔄 Process:

1. 👥 User Interaction: Via a web interface, users input questions or prompts about lighthouses.

2. 🔍 User Input Processing: Ensures the user's query is clear and ready for analysis.

3. 🤖 Interaction with GPT-3: The processed input is sent to the GPT-3 model.

4. 📖 Data Retrieval: A DataFrame Agent queries a lighthouse database.

5. 🔧 Data Combination: Organizes the data for presentation.

6. 💡 Information Fusion: Data from GPT-3 and the DataFrame Agent are synthesized to form an accurate response.

7. 🖋️ Response Formatting by LLM: GPT-3 refines the response ensuring it's well-presented.

8. 🖥️ Displaying the Response: The final information is presented to the user.

📊 Results:

Users gain an enriched understanding of lighthouses via a user-friendly chat interface.

🚧 Challenges and Solutions:

• ❓ Challenge: Providing real-time, accurate, and engaging lighthouse information.

• ✅ Solution: The integration of a powerful language model with a dedicated lighthouse database.

🎓 Lessons Learned:

• The potential of combining Generative AI with specialized databases.

• Streamlining user interactions for optimal knowledge dissemination.

💻 Technology Stack:

GPT 3.5 ⠿ Chromadb ⠿ Langchain ⠿ Streamlit ⠿ Python