Syncora FQ Assistant is developed with Vite, React and Typescript. This extension transforms site workflows by simplifying and streamlining the pre-clinical trial processes. The main features include auto-filling feasibility questionnaires using AI-driven suggestions based on previous entries and specific therapeutic areas. It also offers workflow management by tracking pre-clinical trial tasks from a single platform, ensuring enhanced data accuracy and robust privacy measures. The extension supports multi-platform functionality and incorporates two-factor authentication for data security. Syncora FQ Assistant also provides advanced suggestion algorithms to maintain consistent data management.

This project showcases a fully functional customer service AI agent that leverages OpenAI’s Autogen framework and a Streamlit front end. It routes user inquiries through a customizable agent pipeline, maintains conversational context, and generates accurate, context-aware responses. Developers can easily clone the repository, set their OpenAI API key, and launch a web UI to test or extend the bot’s capabilities. The codebase includes clear configuration points for prompt design, response handling, and integration with external services, making it a versatile starting point for building support chatbots, helpdesk automations, or internal Q&A assistants.