# AI Interview Coach This project is a sophisticated, AI-powered mock interview application built with Python and Streamlit. It provides a realistic interview experience by generating dynamic, context-aware questions based on a user's resume and a target job description. The application leverages Google's Generative AI (Gemini) to move beyond simple keyword matching, analyzing the holistic context of a user's experience to ask insightful "why" and "how" questions, simulating a conversation with an experienced technical recruiter. --- ## Features - **Dynamic Question Generation:** Utilizes a generative AI model to craft unique technical questions based on the specific projects and skills found in a resume. - **Context-Aware Analysis:** Connects the user's experience directly to the requirements listed in the job description. - **Document Parsing:** Accepts resumes in both PDF and DOCX formats. - **Text-to-Speech:** Provides an option to have interview questions read aloud for a more immersive experience. - **Comprehensive Performance Report:** - Calculates a "Job Fit" score by matching resume keywords against the job description. - Provides a detailed breakdown of which required keywords are present or missing from the resume. - Evaluates each answer for structure and keyword relevance. - **Secure API Key Management:** Uses Streamlit's built-in secrets management to protect the Google AI API key, ensuring it is never exposed in the code. --- ## How to Set Up and Run the Project Follow these steps to get the application running on your local machine. ### Prerequisites You must have Python 3.8+ installed on your system. ### 1. Project Files Ensure you have the complete project folder containing all necessary files (`app.py`, `question_generator.py`, `requirements.txt`, etc.). ### 2. Install Dependencies All required libraries are listed in the `requirements.txt` file. Open your terminal or command prompt, navigate to the project's root directory, and run the following command to install them: ```bash pip install -r requirements.txt ``` ### 3. Set Up Your Google AI API Key This application requires a Google AI API key to function. - **Get your key:** Visit [Google AI Studio](https://aistudio.google.com/) to generate your free API key. - **Create the secrets file:** 1. In the root of your project folder, create a new folder named `.streamlit` (the name must start with a dot). 2. Inside the `.streamlit` folder, create a new file named `secrets.toml`. - **Add your key to the file:** Open `secrets.toml` and add the following lines, pasting your secret key where indicated: ```toml # .streamlit/secrets.toml GOOGLE_API_KEY = "PASTE_YOUR_SECRET_API_KEY_HERE" ``` ### 4. Run the Streamlit Application Once the dependencies are installed and your API key is configured, run the following command in your terminal from the project's root directory: ```bash streamlit run app.py ``` The application will open in a new tab in your web browser.# Resume_Interviewer.AI