The inspiration behind this project came from the growing use of Artificial Intelligence in everyday life. I wanted to build an intelligent chatbot that could understand human questions, provide meaningful responses, and make information easily accessible through natural conversation.piration
What it does
How we built it
developed this project using Python and AI technologies. The chatbot uses Natural Language Processing (NLP) and Large Language Models (LLMs) to understand user queries and generate relevant responses. I integrated an interactive chat interface to make communication simple and user-friendly.
Challenges we ran into
Some major challenges included generating accurate responses, maintaining conversation context, handling unexpected user queries, and integrating AI functionality with the user interface. I addressed these challenges through testing, debugging, and improving the chatbot's response handling.
Accomplishments that we're proud of
What we learned
Through this project, I gained practical experience in AI chatbot development, Python programming, NLP concepts, API integration, prompt engineering, and handling user conversations. I also improved my problem-solving and debugging skills.
What's next for Rabia
Built With
- large-language-models-(llms)
- natural-language-processing
- openai-api
- python
- streamlit
