InterviewLingo

𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 In today’s competitive job market, effective interview preparation is crucial. Our project, AI-Powered Interviewer, offers a comprehensive, intelligent solution to help users enhance their interview skills. Leveraging cutting-edge technologies, our application provides both chat and voice-based interactions for a seamless and personalized experience. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗨𝘀𝗲𝗱 Built with Next.js, our application ensures a fast and robust platform. Key technologies integrated include: -> AI71 Falcon Model: For generating tailored interview questions and analyzing responses. -> Whisper Model from OpenAI: Facilitating voice-to-text and text-to-voice conversions. -> JSearch API: Enabling advanced search functionalities. -> Pdf-Parser: Extracting and processing information from documents. -> Shadcn: Enhancing the user interface for a visually appealing experience. 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 -> Dynamic Interview Question Generation: Generates professional questions based on the user's chosen evaluation type, ensuring relevance and depth. -> Real-Time Response Analysis and Feedback User responses are analyzed in real-time using the AI71 Falcon model, providing actionable feedback to help users improve. -> Voice and Chat Interaction Supports both chat and voice formats, catering to diverse user preferences. Users can request questions via voice, receive them as audio files, respond verbally, and get feedback on spoken answers. -> Smooth User Experience Includes smooth transitions and real-time status updates like “fetching questions...” and “AI is typing,” creating an engaging and interactive user experience. -> Comprehensive History Management Handles chat and voice interview histories separately, ensuring context and coherence for effective progress tracking.