Overview
Key Features
- AI-Powered Chatbot: Built an intelligent chatbot platform for e-commerce customer support using machine learning and natural language processing.
- Context-Aware Conversations: Implemented sophisticated conversation flows that maintain context across multiple interactions, providing more natural and helpful customer experiences.
- Real-time Product Recommendations: Developed a recommendation system that suggests relevant products based on customer queries and browsing history.
- Multilingual Support: Created comprehensive multilingual support for international markets, supporting multiple languages and cultural nuances.
- Analytics System: Built an advanced analytics system to track customer interactions, satisfaction scores, and conversion metrics.
- Performance Optimization: Optimized AI model performance for faster response times, reducing average response time to under 2 seconds.
Technologies Used
- Next.js: For building the frontend with optimal performance and SEO.
- React: For creating interactive chat interfaces and real-time updates.
- TypeScript: For type-safe development and better code maintainability.
- Nest.js: For building scalable backend services with dependency injection.
- MongoDB: For storing conversation data, user profiles, and analytics.
- Redis: For caching conversation context and improving response times.
- Docker: For containerizing the application and microservices architecture.
- Express: For building RESTful APIs and middleware.
- Supabase: For real-time features and authentication.
