Inspiration
In the competitive landscape of internships and placements, crafting resumes that meet stringent Applicant Tracking System (ATS) standards can be daunting. The process is time-consuming, requiring meticulous attention to detail and alignment with industry expectations. As a result, candidates often face immense pressure to showcase their skills effectively within limited time frames.
What it does
Our project revolutionizes resume creation by seamlessly integrating LinkedIn and GitHub profiles. Job seekers can effortlessly compile comprehensive resumes showcasing their skills, education, and project contributions. By leveraging real-time data from LinkedIn and GitHub APIs, our platform ensures accurate and dynamic profiles. We utilize Gemini LLM for high ATS scores, optimizing resumes for better shortlisting by applicant tracking systems. This integrated approach not only enhances networking opportunities by providing a consolidated view of professional achievements but also fosters connections in the industry. Job seekers benefit from a streamlined process that highlights relevant skills and experiences, improving their chances of landing interviews with employers looking for precisely matched qualifications.
How we built it
We built our project using a Python backend with Flask for web services and frontend for dynamic user interfaces. The frontend incorporates HTML, Jinja templating, and Bootstrap for responsive design. The backend integrates LinkedIn and GitHub APIs to fetch real-time data, processed using Gemini LLM for natural language processing tasks like resume optimization.
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