CareerCraftML: Smarter Studying with AI-Powered Tools

In today's competitive job market, leveraging advanced technology to enhance job application processes and interview preparedness is crucial. This research paper presents a comprehensive system integrating several innovative features using Flask and the Gemini LLM API. The system includes an Applicant Tracking System (ATS) Scanner, a YouTube Video Summarizer, a Resume Enhancement Tool, a Context-Based Mock Interview System, and an Interactive PDF Chat feature. The ATS Scanner evaluates resumes against job descriptions for compatibility with modern recruitment systems. The YouTube Video Summarizer generates concise notes from video content to facilitate efficient information consumption. The Resume Enhancement Tool offers real-time suggestions to improve resume quality, focusing on formatting and skill highlights. The Context-Based Mock Interview System allows users to practice interviews based on specific job descriptions, enhancing their readiness and confidence. Additionally, the Interactive PDF Chat feature enables users to upload notes in PDF format, allowing the system to train on the content and provide an interactive Q&A experience. This paper details the implementation and integration of these features, highlighting the effectiveness and potential impact on job seekers and professionals in the recruitment process