Moodle analyzing text risk factors and routing to the Ultra reasoning tier.
Real-time tone adjustment options

A firm request might come off as aggressive, and empathy might read as unprofessional. We wanted to build an assistant that acts as an autocorrect for tone. Moodle analyzes emotional undertones, detects nuance, and adjusts messages to match the exact emotional intensity and but keep the original context of the message.

Moodle is an AI-powered text conversion tool that analyzes the tone of written messages, detects tones that sound inappropriate, and rewrites them in real time depending on the selected emotions: (Casual, Friendly, Professional, Firm, Empathetic).

We learned valuable insights on AI, this is the first time most members of the group used LLMS for a project.

The project was built using HTML, JSON, and Python.

There were barely any hurdles apart from some problems with the LLM but it was all mainly our lack of knowledge with running llms for an api but through research we managed to overcome those challenges.