UI interface for Fille AI
Response given by our Fille AI
Response given for POC syndrome by Fille AI

Fille AI - Women's Health Chatbot

Overview

Fille AI is a chatbot specialized in women's health, providing clear, factual, and supportive responses. It leverages an existing dataset and sentence embeddings to enhance response relevance while integrating Groq AI for generating responses.

Features

Uses the altaidevorg/women-health-mini dataset for knowledge enhancement.
Implements SentenceTransformer for similarity matching.
Integrates Groq AI for generating chatbot responses.
Built using FastAPI with CORS middleware for API accessibility.
Supports real-time chat functionality for users.

Technologies Used

Python
FastAPI
Sentence Transformers (all-MiniLM-L6-v2)
Datasets Library
Groq AI API
Requests
NumPy
Uvicorn
dotenv

Installation

Prerequisites

Ensure you have Python installed (version 3.8+ recommended).

Steps

Clone the repository: bash git clone https://github.com/your-repository-url.git cd your-repository
Create a virtual environment (optional but recommended): bash python -m venv env source env/bin/activate # On Windows use `env\Scripts\activate`
Install dependencies: bash pip install -r requirements.txt
Set up environment variables:
- Create a .env file in the root directory.
- Add your Groq API key: GROQ_API_KEY=your_api_key_here

Running the Application

Run the FastAPI server using Uvicorn:

uvicorn main:app --host 0.0.0.0 --port 8000

API Endpoints

1. Chat with Bot

Endpoint: /chat/

Method: POST
Request Body: json { "message": "Your user query here" }
Response: json { "response": "Chatbot's response" }

How It Works

User sends a message via /chat/ endpoint.
The chatbot finds a relevant response from the dataset using Sentence Transformers.
A structured prompt is created with context and sent to Groq AI.
The AI generates a refined response, which is returned to the user.

Inspiration

The idea for Fille AI was inspired by the need for an accessible, AI-driven assistant to provide support and information on women's health topics. Many people seek health advice online, and this chatbot aims to deliver accurate and compassionate responses in a conversational manner.

What It Does

Fille AI responds to user queries related to women's health, providing evidence-based information and guidance. It enhances user experience by retrieving relevant knowledge from an existing dataset and improving response quality using Groq AI.

How We Built It

We used FastAPI to develop the chatbot backend.
The altaidevorg/women-health-mini dataset was used to provide an initial knowledge base.
SentenceTransformer was used for similarity matching to retrieve relevant responses.
The chatbot integrates Groq AI to generate human-like responses.
The API is hosted locally and can be deployed to a cloud platform for scalability.

Challenges We Ran Into

Fine-tuning the relevance of responses to ensure accuracy and helpfulness.
Optimizing response times while integrating with the Groq AI API.
Ensuring that responses remain professional, factual, and supportive.
Handling variations in user queries and maintaining consistency in chatbot behavior.

Accomplishments That We're Proud Of

Successfully integrating Groq AI with a structured chatbot framework.
Implementing similarity matching using SentenceTransformer for better response accuracy.
Creating a robust API that can be extended for future improvements.
Providing an engaging and informative chatbot experience for users.