Crypto assistant that collects user data, customizes interactions & match-making crypto enthusiasts.
This project is a smart personal assistant tailored for the crypto community. It collects detailed user information and securely saves it in a database, enabling personalized interactions based on individual preferences. The assistant also monitors user interests and, when similarities are found among users, it facilitates match-making to connect people with common crypto interests. By providing a tailored experience, it not only answers user queries but also fosters community engagement within the crypto space.
The backend leverages a privacy-first architecture using Nillion, ensuring that user data remains secure and confidential. Modern technologies like Node.js are used in conjunction with robust databases (such as MongoDB) to efficiently store and retrieve user data, while maintaining stringent privacy standards.
The personal assistant uses Python along with advanced natural language processing libraries to interpret and process user inputs. Its custom interaction logic combines rule-based systems with machine learning algorithms for dynamic and accurate responses. A specialized matchmaking algorithm analyzes user profiles to identify overlapping crypto interests and connect users accordingly.
The frontend is built with Next.js, delivering a fast, server-side rendered, and highly responsive user interface. Secure API integrations provide real-time crypto data updates and connectivity with various crypto platforms, ensuring an engaging and privacy-centric experience for the community.