Building a Mental Health Chatbot for Low Resource Languages using NLP

Start Date: December 28, 2022 | 3 years ago

Challenge Background

Pakistan is home to a plethora of low-resource languages. Mental health issues are a pertinent issue people in Pakistan are facing these days, however, due to the stigmas associated with this topic, it remains largely ignored. This project aims to tackle this issue, by building a first of its kind urdu based mental health chatbot. This project will be a vibrant addition to the work promoting the development of low-resource languages, and will also address the issue of mental health issues by building a compassionate NLP-based model that can hold personalized textual conversations with its users.

The Problem

We will need to gather an urdu based dataset that can be done by using newspaper sources. We will further use NLP techniques to build the model. Furthermore, we will build and deploy a dashboard to display the results.

Goal of the Project

1. Gather Urdu based data.

2. Develop a chatbot model.

3. Develop visualizations.

4. Deploy the app.

Project Timeline

Data Collection (pre-week 1 even).

Data Pre-Processing.

Building model

Building model and visualization

Building and deploying the app.

Preparing final documents and results.

What you'll learn

1. Collection of Data. 2. Pre-processing of Data. 3. Modelling. 4. Model deployment into a possible API. 5. Visualisation.

First Omdena Local Chapter Project?

Beginner-friendly, but also welcomes experts

Education-focused

Duration: 4 to 8 weeks

Open-source

Your Benefits

Address a significant real-world problem with your skills

Build your project portfolio

Access paid projects (as an Omdena Top Talent)

Get hired at top organizations

Requirements

Good English

Suitable for AI/ Data Science beginners but also more senior collaborators

Learning mindset

Application Form

Application Closed.