Resume Analysis

A resume outlines all the necessary information about a candidate and if relevant, helps them get shortlisted or even selected for an interview. Valfile transcends the traditional hiring process of manual shortlisting, by conducting a thorough examination of the job seeker’s resumes.

Work Experience

Work experience is a critical factor in shortlisting candidates for interviews. Recruiters understand the importance of real-world application of knowledge and the intensity of working in a team. Hence, aligning a job seeker’s work experience against the applied positions helps understand their profiles better. Valfile’s carefully crafted AI recruiting system discerns the nuances of each professional journey by identifying key achievements, project and team contributions, responsibilities, and progression of roles. By analyzing the highlights of past employment or internships, Valfile gains a deep understanding of a candidate's expertise and industry exposure. For instance, Say a candidate with prior experience in marketing roles, has applied for the role of Marketing Manager. Valfile’s resume analysis feature, not only extracts the duration of their employment but also identifies the type of campaigns they worked in, the results they achieved and weighs the information against the requirements of the applied Job. This helps employers receive a comprehensive profile of the candidate’s work experience.

Education & Skills

Valfile’s AI recruiting platform is programmed to understand the importance of a candidate’s educational background in shaping their skills. Hence, apart from listing their degrees, the system analyzes their academic achievements, coursework relevant to the job, and their certifications. This helps hiring managers find candidates whose educational backgrounds align with the job requirements. Valfile also evaluates the skills mentioned in resumes. The system uses natural language processing to analyze the depth of a candidate’s proficiency in many skills. For instance, Say a job requires specific certifications and skills to be eligible for shortlisting. Valfile looks for the required certifications and skills in the resumes and highlights relevant coursework and academic achievements. The system also evaluates the extent of the skills mentioned, project experience, and undertaken responsibilities.

AI Recommendation

Our AI team has worked tirelessly to develop the AI recommendation engine to rank candidates. This helps employers and talent managers quickly find the best profile for their posted job descriptions. The Generative AI model also provides the factors considered and the reasons behind the ranks. This helps recruiters understand what unique profiles can contribute and what they lack.

Job Description Parsing

Valfile’s AI recruiting approach is all about precision. Apart from performing a thorough analysis of the resumes, the system parses job descriptions to understand the requirements of the employers. This not only ensures relevant resumes are shortlisted but also the expectations of both job seekers and employers are met fairly.

Qualifications & Requirements

The job description parsing feature of Valfile breaks the job posting into granular bits of information to understand the key requirements. Don’t confuse this with a simple keyword match. The system understands the context and relevance of each requirement and establishes what employers are truly seeking from candidates. Every-so-often, employers also have implicit requirements, excluding the standard list of qualifications. Valfile analyzes the tone, language, and context of such requirements, ensuring all the criteria are met while shortlisting resumes. For instance, if a job description emphasizes “strong communication skills,” Valfile’s parsing not only identifies it on a resume but also analyzes the context to understand whether the employer is seeking written, verbal communication skills, or a combination of both.

Understanding of Skills

Valfile’s AI recruiting model weighs the skills of candidates against the job role requirements. The system carefully understands the context of the mentioned skills and their relevance to specific roles. For instance, say a job requires coding skills for a Front-End role. Now, Valfile doesn’t just identify coding languages mentioned in a candidate's resume, it differentiates between front-end and back-end development skills, ensuring the candidate has relevant knowledge for the Front-End role.

Next.js

With a focus on performance and client-side rendering capabilities, Next.js helps Valfile with a smooth and responsive user interface. The framework’s ability to implement server-side rendering or static site generation reduces the page load times. Next.js also allows Valfile to deliver a dynamic and interactive platform, which is critical to engage job seekers, employers, and talent managers.

FastAPI

FastAPI is a Python web framework that powers the backend services of Valfile. The project relies on its endpoints for many tasks like user registration, recommendation processes, and more.The asynchronous nature of FastAPI contributes to high-performing backend processes and handles concurrent requests. Its automatic data validation and documentation features ensure the stability of the APIs and provide comprehensive documentation, making it easier for developers to understand and utilize the exposed APIs.

Prisma

Prisma’s open-source database toolkit interacts with the database layer of Valfile. Thanks to its Object-Relational Mapping (ORM) capabilities, the system seamlessly maps database elements to the platform's data models, simplifying database operations. This helps in easier management and retrieval of data, and efficient handling of user details, resumes, and job descriptions within the Valfile database.

Generative AI

Valfile uses the power of Generative AI, to perform sophisticated tasks related to information extraction and formatting. Powered by advanced natural language processing (NLP) models, Generative AI understands and generates human-like text. For Valfile, Generative AI comprehensively analyzes resumes submitted by job seekers to understand the context of information and extracts key details. It also helps in parsing and processing job descriptions. Generative AI also enhances the precision of matching candidates with job requirements by understanding the contextual relevance of information.

Tailwind CSS

Tailwind CSS is a utility-first CSS framework that styles the user interface of Valfile. Through its classes, the platform gets a consistent and modern design. The utility-first approach enables developers to compose styles by combining small, atomic classes, and provides flexibility without sacrificing maintainability.

Easy Logins

With Valfile, the login process for job seekers and talent managers is a piece of cake. The platform offers the convenience of both email and social media logins. Job seekers can also take advantage of accessing the platform through their Google or LinkedIn accounts.

Seamless Registration

Valfile understands the importance of your time and the frustration that comes with filling out long forms. Hence, to make the registration process seamless, the platform allows job seekers to upload their resumes manually or directly from Google Drive. Similarly, Talent Manager can upload job descriptions with a few clicks.

Profile & Settings Customization

After uploading the resume or job description, Valfile extracts all the necessary information and registers on your profiles. You also have the option to customize platform settings and edit profile information to your liking.