ibttf/interview-coder
Interview Coder
Ce projet est une suite d'outils centrée autour d'un assistant d'entretien piloté par IA, un constructeur de CV professionnel et une base de données de salaires d'ingénierie. L'application principale fournit une transcription audio en temps réel et génère du code et des solutions de conception système lors d'entretiens techniques.
Le logiciel est conçu pour la discrétion et l'évitement de la détection. Il utilise une superposition d'écran invisible qui contourne les logiciels de capture et de partage d'écran, permettant à l'utilisateur de voir des informations sans qu'elles n'apparaissent sur les écrans partagés. Pour éviter davantage la détection, le système implémente une opération uniquement au clavier pour éliminer les mouvements de souris visibles et utilise le masquage du nom de processus pour cacher l'application des gestionnaires de tâches système et des moniteurs d'activité.
Les capacités supplémentaires incluent une bibliothèque de problèmes de codage résolus organisés par algorithme et structure de données, ainsi que des outils d'intelligence de carrière pour comparer la rémunération et les offres d'emploi par rapport aux données du marché.
L'accès utilisateur est géré par l'enregistrement de compte et l'authentification d'identité via email ou des fournisseurs tiers.
Features
- Real-Time Interview Copilots - Functions as an AI assistant that analyzes live audio to provide real-time code and system design solutions during interviews.
- AI-Powered Code Generation - Uses large language models to generate algorithmic solutions and system design responses based on live transcription.
- Real-Time Transcription - Provides instantaneous conversion of live interview audio into text transcripts for real-time AI analysis.
- Real-Time Audio Transcribers - Converts live interview audio into text in real time to facilitate AI-driven assistance.
- Keyboard-Driven Interfaces - Eliminates visible mouse movements by executing all application functions via keyboard shortcuts.
- Stealth Interface Shortcuts - Implements all application functions via shortcuts to eliminate visible mouse movements during live sessions.
- Salary Benchmarking Databases - Includes a database for benchmarking engineering compensation and comparing job offers against market data.
- Audio Processing - Implements audio processing to capture and analyze spoken conversation from live interview sessions.
- Invisible Overlays - Implements a transparent desktop layer that remains invisible during screen shares and recordings.
- Interview Answer Assistants - Integrates with video conferencing and assessment tools to provide real-time answer suggestions to the interviewee.
- Screen Share Evasion - Integrates click-through overlays and keyboard-only controls to remain invisible during screen shares.
- Screen Capture Protections - Uses native windowing flags to prevent the AI assistant interface from appearing in screen shares or recordings.
- System Process Hiding - Conceals the application's presence from system task managers and activity monitors to avoid detection.
- Screen-Sharing Concealment - Prevents the application window from appearing in screen-capture or sharing software used during interviews.
- Click-Through Controls - Renders a transparent overlay that allows mouse events to pass through to the underlying interview platforms.
- Interview Pattern Solutions - Offers a library of solved coding problems based on industry-standard interview patterns.
- Market Research Strategies - Provides market research strategies to gather salary data for informing employment negotiations.
- Professional Resume Generators - Automates the creation of professional software engineering resumes by organizing experience, projects, and skills.
- Resume Builders - Ships a dedicated platform for creating and managing professional engineering resumes.
- Interview-Focused Problem Sets - Provides curated collections of algorithm and data structure problems specifically for technical interview prep.
- Offer Evaluation Frameworks - Provides a framework for analyzing multiple job offers side-by-side against industry market data.
