Case Study

Ed-Tech Platform with AI-powered Resume Builder and CV Scoring

Highly personalized educational technology platform incorporated with various modules like AI-powered CV generator, annotator, job board with NLP-powered matchmaking, and many more. Created for an award-winning Canadian ed-tech startup, Technext managed end-to-end development.

Ed-Tech Platform with AI-powered Resume Builder and CV Scoring



Custom Project

Project Duration

6 Months

Team Members


About the Project


Our client is an award-winning Ed-Tech startup based in Canada that aids international students and newcomers in launching successful careers within 15 weeks. 

Their mission is to empower students to achieve their dream jobs. So leadership recognized that they needed a robust web solution that’s like a career-launching toolkit. They want to build a platform combining Virtual Learning Environments (VLE) and AI-powered resume builders. 

It’s an all-encompassing platform that empowers students to learn virtually, craft captivating resumes, construct profiles, and join in career-elevating events.

The startup did not have a development team. So, they collaborated with Technext to develop the MVP.

The Vision

The startup aims to streamline international students’ and newcomers’ career launch journeys by providing them with a comprehensive AI-powered platform.

The Canadian educational technology industry is worth around 2 billion and has experienced continuous growth since the last decade. While several ed-tech businesses provide mainstream services, no companies provide tailored services to foreign students.

The startup founders realized the market gap and want to help international students and newcomers prepare for the market through their platform.

Business Challenges Solved

  1. Career Transition Support: The platform aids international students in swiftly adapting to new career landscapes through targeted courses and resources, streamlining the often challenging transition process.
  2. Resume/CV Enhancement: AI-driven tools refine resumes, helping users create professional documents tailored to their target job markets, mitigating challenges associated with cultural differences in formatting and content.
  3. Objective Evaluation: AI CV scoring provides users with an unbiased assessment, overcoming subjective biases in traditional screening processes and offering clear insights into how well their CV aligns with industry expectations.
  4. Tailored Learning Paths: The digital learning platform offers courses designed specifically for international students, addressing the challenge of finding relevant and tailored educational resources that cater to their unique needs.

Project Scope

Develop a cutting-edge Ed-Tech platform. The project emphasizes a robust AI-powered resume builder and CV scoring system, requiring comprehensive design, development, and AI integration.

Goals Set to Technext

Design and User Interface:

  • Craft an intuitive and visually appealing user interface (UI) for effortless user interaction.
  • Prioritize user experience (UX) design to enhance engagement and usability.
  • Ensure responsive design across devices for a consistent experience.

Front-end and Backend Development

  • Craft visually appealing and intuitive user interfaces that align with the project’s design objective.
  • Architect the back-end infrastructure to handle a growing user base gracefully.
  • Design and implement a robust database structure to store and retrieve data efficiently.
  • Design and implement APIs for seamless communication between the front end and back end.

AI integration and NLP implementation

  • Integrate AI capabilities, leveraging OpenAI Da Vinci for advanced resume builder and CV scoring.
  • NLP implementation and creation of precision job matching feature.

Service Process

Technext had several meetings with the client before starting the project. During these meetings, we identified that the client needed a tailor-made web application solution.
We created a Software Requirement Specification (SRS) and presented various engagement options to the client. The client chose a fixed-price model and opted for the custom web application development service.

Design Process

The design process began with establishing the design objectives and refining the functionalities of the SES. Since the project is more than a conventional ed-tech platform, we had to cover all the features while providing a good user experience.

Design Challenges

We encountered certain design challenges, with one of the key issues being:

  • Prioritizing features, creating a clear hierarchy, and ensuring that the diverse functionalities work seamlessly to avoid overwhelming users.
  • Balancing the integration of sophisticated AI features while maintaining a user-friendly and intuitive experience.
  • Conducting usability testing, optimizing information architecture, and employing clear navigation patterns to enhance user understanding and accessibility.
Working on projects

Project in Details

The ed-tech platform was developed based on the specific requirements outlined by the startup founders. It features various modules tailored to cater to the diverse needs of international students, and the integration of AI enhances the usability of the solution.

LMS Module

The Learning Management System (LMS) is a central hub for education, management courses, and seamless delivery of multimedia content to create an enjoyable learning experience.

Moreover, the LMS comes with advanced filters based on skills, preferences, and course categories. This allows users to personalize their learning journey. Additionally, there’s a special section for featured courses, giving prominence to selected courses on the platform.


Student Profile and Portfolio

A student profile and portfolio feature that lets individuals present their achievements and projects. Think of it as crafting a digital canvas where students can creatively exhibit their academic and extracurricular successes, forming an engaging gallery of accomplishments.

AI-Powered Resume Builder

Unlike other AI-powered CV makers that prioritize speed and generate generic resumes, the resume builder we created is designed to assist students in crafting personalized resumes tailored to their data and industry requirements.

Leveraging Open AI Da Vinci and fine-tuned with guidance from professional career coaches, this advanced resume builder empowers students to create compelling and customized resumes that stand out in the competitive job market.

ai powered resume scorer

AI-Powered Resume Scorer

We also created a resume scorer that allows students to evaluate the quality of their resumes. It utilizes a custom scoring algorithm and leverages the capabilities of the OpenAI GPT-3.5 model, Da Vinci, enhancing the accuracy and effectiveness of the scoring process.

Job Board with Precision Job Matching

The system also has a job board module with a precision job-matching feature. We implemented advanced NLP, surpassing traditional keyword matching. This intelligent system evaluates candidates’ skills, aspirations, and interests to present a carefully curated list of job opportunities.

Development Challenges

  • Creating an actionable SRS from the informal requirements of the non-tech founders was the first challenge.
  • Creating a complex software architecture incorporating a wide range of features and modules while maintaining a seamless experience.
  • Integration of openAI DaVinci with different modules of the solution while keeping the number of API requests at a minimum level to reduce the API cost.
  • Creating the personalized resume builder was particularly challenging as it required advanced fine-tuning.
  • Advanced NLP implementation during precision job matching feature creation.

Tools and Technologies

Next JS
Amazon AWS Logo

Project Outcome

  1. Tailored CVs:
    • Users easily create customized resumes for various career choices.
    • Smart algorithms recognize skills, suggest keywords, and optimize resume styles.
  2. Improved Candidate Evaluation:
    • Advanced algorithms in resume searches reduce false positives.
    • Job descriptions are deeply understood, raising the standard of candidate evaluation.
  3. Enhanced Job Search:
    • Natural language processing transforms job search.
    • A sophisticated search engine evaluates skills, aspirations, and interests for curated job prospects.
  4. Scalable Infrastructure:
    • Built on a reliable multi-tenant architecture for easy growth.
    • User privacy is maintained through data separation, ensuring optimal performance under increased load.
  5. Positive User Experience:
    • User-friendly interface for employers and job seekers.
    • Seamless integration of resume creation, scanning, and job seeking.