Psychological Health Chatbot:

Overview

In this project, we developed a Psychological Health Chatbot aimed at detecting and assisting patients in their mental health recovery journey. By leveraging advanced natural language processing techniques, our chatbot provides a supportive and accessible resource for individuals seeking help.

Team Members

• Sadegh Jafari
• Mohammad Erfan Zare
• Amireza Vishte
• Mirzae Melike
• Zahra Amiri
• Sima Mohammadparast
• Sauleh Eetemadi

Table of Contents

1. Data Collection
2. Model Training
3. results
4. Results

1. Data Collection

We collected a diverse dataset of conversations related to mental health to train our chatbot effectively. This dataset includes various scenarios and emotional responses to ensure comprehensive coverage of user interactions.

2. Model Training

A pre-trained transformer-based model, such as [insert model name], was fine-tuned to enhance its understanding of user queries and improve response generation. The training process involved optimizing hyperparameters and incorporating techniques for better contextual understanding.

3. Evaluation

We conducted user testing to evaluate the chatbot’s performance. Key metrics included user satisfaction rates and the chatbot’s ability to accurately detect emotions and provide relevant responses.

4. Results

After evaluating the chatbot, we achieved promising results, with user satisfaction rates reaching [insert percentage]%. The chatbot demonstrated an effective ability to assist users in their mental health journeys.

Conclusion

The Psychological Health Chatbot represents a significant advancement in utilizing technology to address mental health challenges. By providing an accessible and non-stigmatizing resource, this chatbot can play a crucial role in supporting individuals on their path to recovery.

Future Work

Future improvements will focus on enhancing the chatbot’s emotional detection capabilities and integrating more personalized feedback mechanisms to better support users.

• 2024 4
• 2023 2
• 2021 2
• 2020 3