AI-Powered Contextual Customer Support Agent for Startups (Group Project)

Develop an AI customer support agent that uses advanced prompt and context engineering to provide personalized, context-aware responses in real-time. The agent leverages user interaction history, startup-specific FAQs, and dynamic context switching to improve customer satisfaction and reduce response times. **Organizing Group Work:** - *Roles:* - AI Engineer (model fine-tuning and prompt engineering) - Backend Developer (API and database integration) - UX/UI Designer (chat interface design) - Project Manager (timeline and coordination) - QA Tester (functionality and usability testing) - *Timeline:* - Week 1: Requirement gathering & design - Week 2-3: AI model fine-tuning & prompt design - Week 4-5: Development of chat interface and backend integration - Week 6: Testing and iteration - *Goals:* Launch a minimum viable product (MVP) with at least 5 dynamic response scenarios. **Suggested Collaboration Platforms:** - Project management: **Trello** or **Asana** - Code collaboration: **GitHub** - Communication: **Slack** or **Microsoft Teams** - Design collaboration: **Figma** **Deadline / Milestones:** - MVP ready in 6 weeks - Internal demo by end of Week 6 - User feedback session by Week 7 **Adaptability for Remote Collaboration:** Fully remote-friendly via asynchronous work tracking and video call check-ins.