Inspiration
The inspiration behind AI Chats was to create a chatbot that could simulate human-like conversation and assist with various tasks. The team wanted to explore the potential of artificial intelligence and its ability to enhance human interaction.
What it does
AI Chats is an AI-powered chatbot that can understand natural language and respond accordingly. It can assist with tasks such as scheduling appointments, answering frequently asked questions, and providing recommendations. The chatbot also has the ability to learn and improve over time, making it a valuable tool for businesses and individuals alike. Users also get the ability to upload pdf documents such as text books and then have a discussion on the text book with the chatbot.
How we built it
The team used a combination of natural language processing and machine learning techniques to create the chatbot. They trained the model on a large dataset of conversations to improve its understanding of language and context. The chatbot was built using Python and deployed on a cloud-based platform.
Challenges we ran into
One of the main challenges the team faced was improving the chatbot's accuracy and ability to understand complex queries. They also had to ensure that the chatbot's responses were relevant and helpful, which required extensive testing and fine-tuning.
Accomplishments that we're proud of
The team is proud of creating a chatbot that can understand natural language and provide helpful responses. They also developed a user-friendly interface that makes it easy for anyone to interact with the chatbot.
What we learned
Through building AI Chats, the team learned the importance of data preparation and model training in developing an effective chatbot. They also gained a deeper understanding of natural language processing and its applications in real-world scenarios.
What's next for AI Chats
In the future, the team plans to enhance the chatbot's functionality by integrating it with other platforms and services. They also aim to improve its ability to handle complex queries and provide more personalized responses.
Built With
- golang
- node.js
- openai
- pinecone
- python
- react
- typescript
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