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https://github.com/rogendo/mental-health-chatbot

This is a MULTILINGUAL bot designed to provide emotional support and assistance to individuals struggling with mental health issues. It can help individuals access mental health resources, offer guidance and support. With the integration of Language translation, this chatbot will be very efficient as it will be able to break the language barriers
https://github.com/rogendo/mental-health-chatbot

chatbot health integration-of-language-translation-in-chatbots mental-health multilingua-chatbot multilingual

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This is a MULTILINGUAL bot designed to provide emotional support and assistance to individuals struggling with mental health issues. It can help individuals access mental health resources, offer guidance and support. With the integration of Language translation, this chatbot will be very efficient as it will be able to break the language barriers

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# Mental-health-Chatbot
This is an AI-powered bot designed to provide emotional support and assistance to individuals struggling with mental health issues.
It can help individuals access mental health resources, offer guidance and support.
With the integration of Language translation, this chatbot will be very efficient as it will be able to break the language barriers.

The creation of a chatbot capable of language translation, holds transformative potential, acting as a catalyst in overcoming language barriers for effective communication and information exchange.
Its impact spans diverse sectors, including: healthcare, commerce, and governance etc. offering a versatile solution to bridge linguistic gaps.

https://codeaxe.co.ke/multilingobot/
# How to run it?

First step is to download the models from the link MODEL add the model in the root project directory.

The following instructions were tested on the Windows and Linux with Python 3.8.

1. Clone this repository

```
git clone https://github.com/Rogendo/Mental-health-Chatbot.git
```
```
cd Mental-health-Chatbot/
```

2. Create and activate virtual environment

```
python -m venv venv
```
on Linux system
```
source venv/bin/activate
```
on Windows system
```
.\venv\Scripts\activate.bat
```
3. Install requirements

```
pip install -r requirements.txt
```

4. Run the
```
flask --app app --debug run

```

![image](https://user-images.githubusercontent.com/62094358/221975328-2c9500a6-d551-4704-8544-e60e449bcdda.png)