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🤖 Personalized Placement Assistant\n\nAn intelligent web application that uses the Gemini 2.5 Pro API to analyze your resume against a job description, providing detailed feedback.\u003cbr\u003e\n**Note: _This is built by Gemini Pro 2.5 as an experiment to test its capability to build full-fledge web application with few human tweaks for further refinement._**\n\n\n## ✨ Features\n\n* **AI-Powered Analysis:** Leverages Google's Gemini 2.5 Pro for a nuanced understanding of job roles and resumes.\n* **Comprehensive Feedback:** Get a match score, interview and hiring probabilities, strength/gap analysis, and tailored advice.\n* **Company Assessment:** Evaluates the company profile separately from the role match based on public knowledge.\n* **Smart Caching:** Avoids redundant API calls by caching results for identical inputs, saving time and potential costs.\n* **Simple Web Interface:** Easy-to-use UI for uploading documents and viewing results instantly.\n\n\n## 🛠️ Tech Stack\n\n* **Backend:** Python 3.12 with Flask\n* **AI Model:** Google Gemini 2.5 Pro API\n* **Frontend:** HTML, CSS, Vanilla JavaScript\n\n## 🚀 Setup and Installation\n\nFollow these steps to get the application running locally on your machine.\n\n### 1. Prerequisites\n\n* Python 3.12 or higher\n* A Google Gemini API Key\n\n### 2. Clone the Repository\n\n```bash\ngit clone https://github.com/ChiragAJain/Placement-Assistant\ncd Placement-Assistant\n```\n\n### 3. Set Up Environment Variables\n\nCreate a `.env` file in the project root:\n\n```\nGEMINI_API_KEY=your_gemini_api_key_here\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchiragajain%2Fplacement-assistant","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchiragajain%2Fplacement-assistant","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchiragajain%2Fplacement-assistant/lists"}