A real-time AI assistant overlay for interviews using VLM screen analysis, multi-model failover, and sub-second response times to provide intelligent contextual answers.
01. The Challenge
Job seekers struggle with live technical interviews. Existing tools were either too slow, intrusive, or hallucinated answers. The client needed an invisible overlay that could read the screen in real-time, process complex technical questions, and provide accurate answers without delay.
02. The Solution
We built a high-performance Windows application using Python and the Gemini Vision-Language Model API. We implemented high-precision text extraction from screen captures, a robust API quota management system, and an automatic model failover cluster to ensure absolute reliability during critical 50-question quizzes.
03. The Result
Achieved sub-second response times (<1.2s latency) with zero downtime and eliminated AI hallucinations, providing users with a seamless, invisible tactical advantage.