March 2025 Update: ProfileIQ

Spotlight
- Introducing Feelix, the AI Interview Bot: Practice interviews with our new AI-powered bot, complete with an ElevenLabs-powered avatar and AI-generated questions for a realistic experience.
- New Career Simulation Page: Explore potential career trajectories with a new, interactive UI designed for career simulation.
- Advanced Resume Analysis: A new Skill Matrix feature parses and analyzes your resume against the O*Net Database for comprehensive skill verification and evaluation.
- Phase-Based Assessments: Assessments have been upgraded to be phase-based, providing a more structured and detailed evaluation process.
New Features & Modules
Feelix - The AI Interview Bot:
- Practice mock interviews with an interactive and responsive AI agent.
- Features a dynamic avatar powered by ElevenLabs for realistic voice and interaction.
- Receives tailored interview questions and AI-driven performance insights to help you improve.
Career Simulation UI: A new front-end page has been created to allow users to visually simulate and explore different career paths.
Skill Matrix & Verification: A new backend route analyzes resumes to create a detailed skill matrix, helping to identify and verify key competencies.
User Skills Roadmap: Beyond just a career path, users can now generate a step-by-step skills roadmap to guide their professional development.
CogniFit Integration: User profiles can now be integrated with CogniFit for advanced cognitive assessments.
Enhancements & Updates
- Phase-Based Assessments: Assessments are now multi-phased, with UI updates to support a more granular and insightful evaluation experience.
- Career Path & Skill Phases: The career path generation has been improved with updated "skill phases," providing more structure to the user's skill-building journey.
- UI & Data Improvements:
- A new LLM Usage UI has been added to the platform.
- The client-side comparison UI now features new graphs and charts.
- Backend metadata handling for lists has been enhanced for uniqueness and efficiency.
- BLS Component: The client-side BLS component has been heavily refactored and updated for better performance and data display.
Bug Fixes
- Deployment Stability: Resolved critical deployment failures caused by the missing 'moment' package.
- Job Applications: Fixed bugs that prevented users from applying for jobs on the BLS page.
- Session Persistence: Resolved an issue where user sessions were not maintained after a page refresh.
- API & Integration: Corrected a breaking issue with the CogniFit API and fixed a bug where O*Net profiles were not being found.
We look forward to your thoughts and suggestions for further improvements!