Objectives

• Build a chatbot capable of answering user questions about tournaments, profiles, and features within the DEFENDR ecosystem.
• Implement AI and Natural Language Processing (NLP) algorithms to understand user context and provide relevant responses.
• Integrate the chatbot into DEFENDR (both web and mobile app) and evaluate its ability to provide accurate and helpful replies.

Architecture & Tech Stack

• Frontend: Next.js to create the chatbox interface and connect to backend APIs.
• Backend: Node.js + Express.js for handling NLP requests, processing conversation state, and exposing APIs consumed by web/mobile clients.
• Database: MongoDB to store user interactions, conversation logs, and feedback to improve chatbot learning and retraining.

Tasks & Deliverables

• Design conversation flows, intents, entities, and context management to support tournament-, profile- and feature-related queries.
• Implement NLP components (intent classification, entity extraction, context tracking) using appropriate libraries or models and integrate them into the Node.js backend.
• Integrate the chat interface into the Next.js frontend and ensure seamless operation on both web and mobile clients of DEFENDR.
• Create logging and storage mechanisms in MongoDB for interactions and feedback, and build a simple pipeline to use stored data to improve responses over time.
• Test and evaluate chatbot accuracy and helpfulness with metrics (e.g., intent accuracy, response relevance, user satisfaction) and provide a report with improvements.

Candidate Profile & Skills

• Strong proficiency in JavaScript/TypeScript, experience with Next.js for frontend development and Node.js + Express.js for backend APIs.
• Practical experience with NLP/AI tools or frameworks (e.g., Hugging Face Transformers, Rasa, spaCy, or similar) and knowledge of intent/entity modeling.
• Experience with MongoDB or other document databases for storing logs and training data; familiarity with designing a learning loop from interaction data.
• Ability to design, implement, and run tests and evaluation scenarios for conversational agents; good communication and documentation skills.

How to apply

• Apply via the DEFENDR jobs page: https://defendr.gg/jobs
• When applying, reference the project title in your application to ensure it is considered for this PFE.