Neptune Lab



Project duration:
June  2022- Dec 2022

Team Members:
Coco Wang- Product Design/Research
Margaret Zhang- Founder
Amber Wu- Marketing Strategy
George Chen- Business Ops
Katherine Zhang- Researcher
Yifan Chen- Researcher

The Problem:


Major depressive disorder frequently goes underdiagnosed and untreated in minority groups, who constitute one-third of the U.S. population, yet only about 12% of mental health professionals are from these backgrounds. The traditional model burdens clinicians with the task of independently learning about the diverse histories, beliefs, and systemic barriers specific to different ethnic groups—a process that is both time-intensive and repetitively demanded across the clinician community. This underscores a critical issue:the urgent need for a streamlined, inclusive approach to clinician training and resources to effectively address the mental health needs of minority populations.








The Solution


Leveraging AI, Neptune Lab is able to offer culturally adaptive cognitive-behavioral therapy (CBT) to tackle mental health issues like depression and anxiety, enabling personalized management for users. Powered by the web3 community, Neptune Lab has developed an integrated system for medical information management, incorporating SocialFi/DAO for peer support, connecting users to global therapeutic resources, and utilizing NFTs for engagement and retention. This represents a holistic, ecosystem-based approach to addressing mental health challenges, providing accessible and culturally attuned care.










Market Research














Competitors




 







Business Model Canvas











Product Key Features


The Chatbot

The AI Chatbot merges NLP for engaging conversations and AI for enhancing psychological practices. It encompasses Natural Language Understanding (NLU) with essential and advanced processing capabilities, from normalization and sentiment detection to topic modeling and entity resolution. Natural Language Generation (NLG) ensures human-like, personalized responses and coherent narratives. Additionally, our Dialogue Management system isdesigned for psychologically-guided interactions, facilitating tailored psychological support and customer interactions.







Cultural Preferences

Cultural differences result in the ineffectiveness of current psychologists in treating patients from minority cultural backgrounds. Employing multicultural competency to customize Cognitive Behavioral Therapy (CBT) could more effectively meet the mental health needs of marginalized communities. While CBT is an evidence-based therapy primarily targeting Europeans or Americans, major depressive disorders remain under-diagnosed and under-treated in minority groups, which constitute about 40% of North America's population.






Talk Anonymously

Creating a secure web3 and DAO-based community for mental health, this SocialFi platform allows for anonymous question posting by patients within the community, with responses from doctors or psychologists incentivized by tokens. Additionally, it supports remote meetings via virtual IP and uses NFTs to enhance customer experiences.










Marketing & Visual Styleguide

Marketing Website:
































Learnings


1. For many patients, the process of expressing themselves to another human being plays a significant part in other therapies. If we instead use a computer to tell them the same words in the same tone, the effect can still be utterly different. A possible solution is to utilize robotics technology to implement AI products that simulate the human interaction process. Alternatively, we can apply AI technology in the parts where human interaction does not play an essential role, such as intelligent diagnosis.

2. The ethical implications of using AI remain a contentious issue in the healthcare industry. This is true for both traditional healthcare applications and mental health treatments, where AI can sometimes err, leading to medical mishaps. When decisions are made by algorithms rather than humans, determining accountability becomes challenging.








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©2024, created, edited and partially coded by Coco Wang.