Alice Sanctuary

Inspiration

I wanted to create a chatbot that could help people open up about mental health without feeling embarrassed or judged. Many people struggle to talk about these issues, and I thought a supportive, conversational system could make a difference.

What it does

Alice Sanctuary is a chatbot that talks to users in a natural and empathetic way. It listens to their concerns and responds appropriately, offering support for mental health issues.

How we built it

We used Large Language Models (LLMs) for understanding and generating responses. The backend is built with Flask, and the frontend is in React. We also used NLP techniques to help the bot understand emotions and context.

Challenges we ran into

Making the bot sound truly empathetic.

Accomplishments that we're proud of

I’m proud that the chatbot can engage in meaningful conversations and offer support.

What we learned

I learned a lot about NLP, and how hard it is to make a bot sound empathetic.

What's next for Alice Sanctuary

Next, I want to improve the bot’s emotional understanding, make it more secure, and maybe even add voice capabilities to make it feel more human.

Built With

• ai
• flask
• llm
• ml
• natural-language-processing
• python
• react