tusharzalte / tusharesume

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[FEATURE] Integrated Skill Recommender Enhancement #235

Open Nishusk opened 11 months ago

Nishusk commented 11 months ago

Description

As a user of the resume builder, I would like to propose the implementation of an innovative feature called the "Integrated Skill Recommender." This enhancement aims to provide users with personalized skill recommendations based on their job preferences, industry trends, and career goals. By integrating artificial intelligence and data analysis, this feature would empower users to create resumes that effectively align with current job market demands, increasing their chances of securing their desired positions.

Feature Details: The Integrated Skill Recommender feature would include the following components:

  1. AI Analysis: Implement an AI-powered algorithm that analyzes the user's entered job preferences, industry-specific keywords, and selected career path. This algorithm would then generate a list of skills that are highly relevant and in demand within the chosen industry.

  2. Data-driven Insights: Integrate data from job listings, industry reports, and trends to ensure that the recommended skills are up-to-date and aligned with the current job market landscape.

  3. Personalized Suggestions: Display the recommended skills as suggestions to the user while they are building their resume. These suggestions should seamlessly integrate with the existing interface and allow users to select which skills to incorporate into their resume.

  4. User Customization: Provide the option for users to customize the suggested skills based on their individual strengths and experiences. This ensures that the recommendations are adaptable to their unique qualifications.

  5. Visual Representation: Visualize the alignment between the user's chosen career path, industry trends, and the skills they've added to their resume. This could be presented in the form of graphs or visual indicators to help users understand the impact of their skill choices.

Benefits:

Screenshots

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Additional information

Implementation: The implementation of this feature would involve collaboration between frontend and backend developers, AI engineers, and data analysts. The AI algorithm would need to be trained on industry-specific data and continuously updated to reflect changing trends.