🤖 Personalized Placement Assistant

An intelligent web application that uses the Gemini 2.5 Pro API to analyze your resume against a job description, providing detailed feedback.
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.

✨ Features

• AI-Powered Analysis: Leverages Google's Gemini 2.5 Pro for a nuanced understanding of job roles and resumes.
• Comprehensive Feedback: Get a match score, interview and hiring probabilities, strength/gap analysis, and tailored advice.
• Company Assessment: Evaluates the company profile separately from the role match based on public knowledge.
• Smart Caching: Avoids redundant API calls by caching results for identical inputs, saving time and potential costs.
• Simple Web Interface: Easy-to-use UI for uploading documents and viewing results instantly.

🛠️ Tech Stack

• Backend: Python 3.12 with Flask
• AI Model: Google Gemini 2.5 Pro API
• Frontend: HTML, CSS, Vanilla JavaScript

🚀 Setup and Installation

Follow these steps to get the application running locally on your machine.

1. Prerequisites

• Python 3.12 or higher
• A Google Gemini API Key

2. Clone the Repository

git clone https://github.com/ChiragAJain/Placement-Assistant
cd Placement-Assistant

3. Set Up Environment Variables

Create a .env file in the project root:

GEMINI_API_KEY=your_gemini_api_key_here