• Dharmesh Gidwani
• Jasleen Kaur
• Lata Gupta

In today's job market, one of the biggest challenges facing job searchers is crafting an interesting and professionally structured resume. Manual resume generating processes are laborious, prone to errors, and oftentimes don't produce the quality results that employers want these days. An automated resume generating system is presented in this research study with the goal of enhancing the effectiveness and caliber of resumes created in response to these concerns while also increasing the process efficiency of resume development. By using complex algorithms, interpretation methods, and customizable templates, the technology gives customers the ability to continue production with a user-focused approach. Using a mix of front-end graphical user interfaces and backend processing algorithms, users may easily submit their abilities, work experience, educational background, and personal information through an intuitive form-based interface. Increased data security measures, compatibility with multiple operating systems, comprehensive template customization options, integration with employment search platforms, and interoperability with AI and machine learning technologies are all planned future developments for the automated resume- generating system. Through the use of creativity, collaboration, and iterative design techniques, the system aims to empower job seekers, enhance employability outcomes in the digital age, and transform the CV preparation process.

Natural Language Processing (NLP), Hyper Text Markup Language (HTML), Cascading Style Sheets (CSS)

"CareerCanvas: Design Your Destiny", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.h123-h128, May-2024, Available :http://www.jetir.org/papers/JETIR2405715.pdf

"CareerCanvas: Design Your Destiny", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. pph123-h128, May-2024, Available at : http://www.jetir.org/papers/JETIR2405715.pdf