CHATRON is a new version of AI that can help you with a wide range of tasks through natural and contextually aware conversations. Its goal is to provide seamless and intelligent interactions, revolutionizing the AI landscape for a better and more collaborative future.

• Front-end: React.js
• Back-end: Node.js
• Database: MongoDB
• Deployment: Vercel

• Advanced NLU and NLP: CHATRON understands the meaning behind user queries, even in the absence of specific commands or keywords. It excels in comprehending complex language structures and idiomatic expressions.
• Contextual Awareness: CHATRON takes into account the ongoing conversation, screen content, and broader context to generate contextually appropriate responses.
• Emotional Intelligence: CHATRON possesses emotional intelligence, allowing it to recognize and respond empathetically to user emotions and sentiments.
• Self-Reflection: CHATRON has the ability to reflect upon its responses and analyze the effectiveness of its interactions, striving for continuous improvement.
• Conversational Interface: CHATRON provides a user-friendly and conversational interface, making interactions with users more intuitive and engaging.
• Comprehensive Documentation: CHATRON offers comprehensive documentation, making it easier for developers and users to understand and utilize its capabilities.
• Proactive Engagement: CHATRON proactively engages in conversations, anticipating user needs and striving to excel in providing relevant and helpful responses.

The project is deployed using Vercel. To deploy the project, follow the steps below:

1. Specify the Vercel project name in the name field.
2. Specify the Vercel target in the target field.
3. Specify the Vercel build command in the build object.
4. Specify the output directory for the build command in the output field of the build object.
5. Specify the Vercel routes in the routes array.

There are no shared dependencies between the generated files.