NLP Enabled Resume Builder for Candidate Portal using Python

Business Requirement

User Experience Design: A user-friendly design that is easy to navigate and understand, with intuitive interfaces that allow candidates to quickly and easily create and update their resumes.

Resume Templates: A library of pre-designed templates that candidates can use to quickly build their resumes, including options for different industries, job roles, and career levels.

Resume Builder Tool: A resume builder tool that allows candidates to add their education, work experience, skills, and other relevant information to their resumes, with dynamic updates and real-time feedback on the effectiveness of their resumes.

Text Analytics: A text analytics engine that can analyze resumes against job descriptions and provide candidates with feedback and recommendations on how to improve the relevance and effectiveness of their resumes.

Integration with Job Boards: Integration with popular job boards and employment websites, allowing candidates to easily post their updated resumes and apply for open positions.

Data Management: Secure and scalable data management systems to store candidate resumes, including data privacy and security features to ensure the protection of sensitive information.

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Solution Overview

OptiSol and a consulting firm teamed up to create an AI resume checker that scores resumes based on job description criteria

The resume checker uses text analytics to analyze resume content against recruiter preferences

The entire process is automated from resume loading/building to dynamic template fitting

A recommendation module was added to suggest texts/descriptions/skills to include in the resume

The score helps guide the user to add relevant skills based on the job description and the resume analysis module was added to make an effective resume for the user

The user dashboard includes a salary insights module with features like career roadmap and average salary information.

Business Impact

Increased Revenue: Candidate portals can attract a large pool of job seekers and employers, leading to increased revenue through job listing fees, advertising, and other monetization options.

Improved User Experience: Candidate portals provide a more user-friendly and efficient experience for job seekers and employers, which can result in increased customer satisfaction and loyalty.

Competitive Advantage: Candidate portals can differentiate a job board or employment website company from competitors, providing a unique value proposition and setting them apart in the market.

Data-Driven Insights: Candidate portals can provide valuable data and insights into the recruitment process, which can be used to optimize and improve the service offering, as well as inform business strategy and decision-making.

Expanded Service Offerings: Candidate portals can serve as a platform for offering additional services and solutions, such as resume building tools, interview preparation resources, and upskilling courses, further increasing revenue and differentiation.

Improved Recruitment Outcomes: By streamlining the recruitment process and providing access to a larger pool of job seekers, candidate portals can improve the outcomes for employers and help them find the right talent for their open positions.

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Technology Stack

Business Value

One stop solution to build an effective resume that is tailored to specific job description.

Guide the user to land on their dream job!

Seamless user experience with reduced manpower

Trusted and Proven Engagement Model

A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
Our NDA-driven process is established to keep clients’ data and IP safe and secure.

The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
This helps clarify the goals, and limitations, and deliver quality products & services.

Our engagement model defines the project size, project development plan, duration, concept, POC etc.
Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).

The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.

On signing the SOW, an official project kick-off meeting shall be initiated.
Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

Awards & recognition

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

50+

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40+

AI & ML
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reputed Clients

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