{"id":27937547,"url":"https://github.com/deveshsuryawanshi/codegenius","last_synced_at":"2025-08-23T19:18:00.825Z","repository":{"id":198838655,"uuid":"701650216","full_name":"DeveshSuryawanshi/CodeGenius","owner":"DeveshSuryawanshi","description":"We are developing an AI-powered self-interview preparation platform. 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This platform leverages the power of AI and natural language processing to simulate real interview scenarios, providing users with valuable feedback and resources to enhance their interview skills.\n\n## Key Features\n## UI Pages\n\n- [Home Page](ui_pages/homepage.jpeg)\n![Home Page](ui_pages/homepage.jpeg)\n- [Interview Selection Page](ui_pages/interview_selection.jpeg)\n![Interview Selection Page](ui_pages/interview_selection.jpeg)\n- [Practice Interview Page](ui_pages/progress.jpeg)\n![Practice Interview Page](ui_pages/progress.jpeg)\n- [Feedback and Analysis Page](ui_pages/feedback.jpeg)\n![Feedback and Analysis Page](ui_pages/feedback.jpeg)\n\n### Interview Simulator\n\n- Our platform allows students to practice for interviews by engaging in realistic conversations with an AI interviewer, powered by the [OpenAI API](https://openai.com/product#made-for-developers). If you're new to OpenAI API, you can get started [here](https://www.builder.io/blog/stream-ai-javascript).\n- Users can choose the type of interview they want to practice, such as MERN, Node, or Java, and receive a series of relevant questions.\n- The OpenAI API dynamically generates questions and provides appropriate responses based on student answers.\n- The AI adapts its tone and style of questioning to simulate different interviewer behaviors, depending on the type of interview selected.\n- We aim to provide a communicative interview experience by utilizing text-to-speech libraries, taking inspiration from the Masai VI platform.\n\n### Personalized Feedback\n\n- Our platform utilizes AI to analyze students' interview responses and offers constructive feedback.\n- Feedback covers various aspects, including content, delivery, and overall performance of student answers.\n- Strengths and areas for improvement are highlighted, such as communication skills, technical knowledge, or problem-solving abilities.\n\n### User-Friendly Interface\n\n- We prioritize a user-friendly web or mobile interface that is intuitive, visually appealing, and easy to navigate.\n- Our goal is to ensure a seamless experience for users, allowing them to focus on interview preparation without encountering technical issues.\n\n## Tech Stacks to Be Used\n\n- **Frontend**: React with Typescript (Mandatory)\n- **Styling**: Tailwind CSS (Mandatory)\n- **AI Integration**: OpenAI API (If you're new to OpenAI API, check out this [guide](https://www.builder.io/blog/stream-ai-javascript))\n- **Data Visualization and Insights**: Charts (optional)\n- **Backend Options**: Node.js with Express and MongoDB or Java Spring Boot\n\n## Team Composition\n\n- Each team will consist of 5 members.\n\n### Team Members\n\n- [Devesh](https://github.com/member1)\n- [Nikhil Kumar](https://github.com/member2)\n- [Satya Indra](https://github.com/member3)\n- [Akash mishra](https://github.com/member3)\n\n## Getting Started\n\nTo get started with the development of this platform, follow these steps:\n\n1. Clone this repository to your local machine.\n2. Set up the required development environment, including React, Tailwind CSS, and the OpenAI API.\n3. Start building and contributing to the project.\n\n## License\n\nThis project is licensed under the [MIT License](LICENSE).\n\nHappy coding!\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeveshsuryawanshi%2Fcodegenius","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeveshsuryawanshi%2Fcodegenius","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeveshsuryawanshi%2Fcodegenius/lists"}