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About the Product 

It is an AI-driven platform which is used to capture the interview process of a candidate. The platform serves as an omnichannel tool that supports real-time video monitoring, video recording and interaction during the interview process. Empowered with AI, it helps in quick and thorough assessment of the candidate. The initial step includes uploading the resume on the platform. The system parses all details, stores them securely, and immediately activates a live camera feed displayed on the screen. From there, the AI interviewer dynamically generates and speaks questions based on the candidate’s resume. As soon as the question is complete, the platform takes a 10-second break and then collects the candidate’s response. After the recording of the answers, the AI assessment helps in making a quick analysis of the score, and also provides detailed information of the candidate’s performance. Meanwhile, the camera continuously monitors the candidate’s activity, detecting use of unauthorized gadgets, tracking suspicious eye movements, capturing alerts, and taking automatic screenshots every 30 seconds.

Core App Features 

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    Automated Resume Parsing

    Instantly extracts and stores candidate details for context-aware question generation. 
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    AI-Driven Question Generation

    Creates and speaks tailored questions based on resume content. 
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    Voice Interaction

    Speaks questions and listens to answers with automated timing controls. 
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    Real-Time Video Monitoring

    Uses AI to track candidate behavior, detect cheating attempts, and log alerts. 
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    Suspicion Detection

    Flags gadget usage and unusual eye movement. 
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    Automated Screenshots

    It collects candidates screenshots after every 30 seconds as well as in case of any doubtful event, the screenshot is captured.
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    Performance Scoring & Summary

    AI does the quick analysis of all the responses captured as well as provide a score and detailed feedback of the candidate.
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AI Features Implemented 

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    Dynamic Question Generation

    Uses parsed resume data and LLMs to create relevant interview questions in real time. 
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    Speech-to-Text Transcription

    Converts spoken answers into text for AI evaluation. 
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    Natural Speech Output

    Uses TTS to speak questions in a natural tone.
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    Behavior Analysis

    Mediapipe-based vision models detect head/eye movement and object usage.
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    Automated Evaluation

    LLM-based scoring rubric evaluates answers for relevance, accuracy, and depth.
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Technologies Used 

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    Frontend

    ReactJS 
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    Backend

    FastAPI 
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    AI & Frameworks

    LangChain, OpenAI 
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    Voice Processing

    pyttsx (TTS), SpeechRecognition (STT) 
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    Computer Vision

    Mediapipe 
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    Other

    WebSocket streaming for real-time camera feed 
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Projected Outcomes & Impact 

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    Faster Recruitment Cycles

    Reduces the need for manual interviewer involvement. 
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    Consistent Evaluations

    AI-driven scoring ensures objective, standardized assessments. 
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    Improved Candidate Experience

    Automated yet conversational interaction mimics human interview flow. 
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    Enhanced Security

    Continuous monitoring minimizes cheating risks. 
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    Data-Driven Hiring Decisions

    Comprehensive summaries provide actionable insights for recruiters. 
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