AI Psychologist for Employees | An AI-driven mental health bot for workers. Companies pay in crypto based on usage, rewarding top performers while tracking well-being trends. AI encourages natural therapy adoption, providing insights to optimize workplace wellness.
This project is an AI-powered psychologist bot designed to help employees manage stress, improve mental health, and boost workplace productivity. Unlike traditional therapy, which some employees may hesitate to seek, this AI-driven approach provides a natural, stigma-free way to access mental health support.
Companies pay in crypto based on usage, ensuring a fair and transparent payment model. Additionally, the system includes a gamification layer, rewarding employees who excel in their roles while tracking correlations between productivity and mental well-being.
How It Works
Why This Matters?
This project was built using JavaScript, AI-driven automation, and Web3 integration to create an AI-powered psychologist bot for employees. The stack includes Autonome (Eliza AI), Node.js, Telegram BotFather, Vercel, and planned smart contract integration for crypto-based rewards.
The AI agent is hosted on Autonome, leveraging the Eliza framework for conversational psychology. This setup allows for scalable, intelligent interactions with employees seeking mental health support. The AI agent is responsible for analyzing user inputs and providing empathetic, structured responses to encourage self-reflection and emotional well-being.
For the user interface, the project includes a Telegram bot, built with BotFather and powered by Node.js, serving as the primary interaction channel. Employees can chat with the bot privately, and messages are processed via Autonome’s API.
The Web3 component is being integrated to gamify mental health engagement. The idea is that employees who engage frequently with the AI psychologist and demonstrate increased productivity will be automatically rewarded with crypto. This will be implemented through smart contracts, ensuring transparent and automated incentive distribution.
One particularly hacky approach is the correlation engine—we’re designing a system to link AI interactions with employee performance data, creating a data-driven incentive model. This encourages natural engagement with mental health tools without the stigma of traditional therapy.
Using AI, Web3, and gamification, this project provides a unique, scalable solution to corporate well-being, making mental health support accessible, incentivized, and data-driven.