TalentFlow: Efficient Career Path Prediction by AI Powered Multi-Vector Ranking Algorithm
Year: 2026
Type: conference-paper
Abstract: In traditional recruitment students get late in-formation about placement drives and don’t have the right resources for preparation. Recruiters also having hard time screening candidates by hand. On the other side recruiters have to go through large numbers of applications and organizing assessments which is both time consuming and inefficient. Talent Flow is developed as a full stack recruitment platform to make this process easier for everyone. It allows students to build their skills, upload resumes and explore job opportunities and keep track of their applications. At the same time recruiters can post the job openings, review applications, shortlist candidates and handle the entire hiring process through a single dashboard. The front end is built using Tailwind CSS which helps in creating a clean and easy-to-use interface making navigation simple for the users. The back end developed in Python handles important tasks like data validation, security, and managing the overall workflow of the application. The database MySQL stores information such as company job posting details and company’s data ensuring everything is organized and can be accessed quickly when needed.
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W7214717844