Chat Bot with database
I developed a chatbot utilizing the ChatGPT API, which allows users to engage in natural language conversations. The chatbot is seamlessly integrated with a database to store chat history, enabling users to revisit previous interactions. The chatbot can provide informative responses while keeping track of user inputs and bot replies, creating a cohesive conversational flow.
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Key Features
- Natural Language Processing: Utilizes the ChatGPT API for intelligent, context-aware responses.
- Chat History Storage: Integrates with a database to securely store and retrieve past interactions.
- User-Friendly Interface: Clean and intuitive layout for easy interaction and navigation.
- Real-Time Interaction: Quick response times for immediate feedback during conversations.
Technologies Used
- Python: The primary programming language used for developing the chatbot logic and API integration.
- HTML: Used to structure the content of the web pages and create a responsive layout.
- CSS: Employed for styling the web interface, ensuring a visually appealing and user-friendly design.
- JavaScript: Utilized to enhance interactivity on the client side, allowing for dynamic user experiences.
- Django: The web framework that facilitates rapid development, providing a robust structure for the application.
- PostgreSQL: A powerful relational database used to store and manage chat history securely and efficiently.
- Git: Version control system employed for tracking changes in the codebase and collaborating with others.
- GitHub: The platform used for hosting the project repository, enabling easy access, collaboration, and version management.