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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM35160

CARRER PATH

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM35160

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM35160

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MPK

Ms. Prachi Khare

AKY

Amit Kumar Yadav

HG

Harshita Gupta

A

Anamika

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Abstract

The “Career Road Map Path” app is a cutting-edge platform designed to revolutionize the way individuals navigate their professional journeys. With a strong emphasis on user security and personalized guidance, the app offers a seamless experience through its intuitive login system, allowing users to access their profiles with email or phone number authentication. Catering to the diverse needs of users, the app divides them into two distinct categories: “Career Path Seekers” and “Job Seekers.” The former category empowers individuals to embark on a well-defined path by selecting their study level and specifying their fields of interest. Leveraging this information, the app generates a customized roadmap that outlines crucial educational milestones, suggests relevant courses and internships, and even recommends skill-building activities tailored to their chosen career trajectory. Meanwhile, the Job Seekers segment provides an immersive dual-pathway approach: Government and Private jobs. Each pathway offers an extensive array of job listings complete with comprehensive descriptions, explicit qualification requirements, and clear application procedures. For government job aspirants, the app furnishes details about upcoming job opportunities, including vital information about job roles, eligibility criteria, application deadlines, and exam schedules. On the other hand, those seeking private sector employment can seamlessly explore openings across various industries, locations, and job types. Recognizing the significance of exam preparation in achieving career goals, the app goes beyond job listings and incorporates a dedicated exam preparation component. This feature equips users with study materials, practice tests, and real-time notifications about exam dates, ensuring they are well-prepared and confident when facing competitive assessments. Furthermore, the app encourages user interaction, enabling individuals to engage with the platform through feedback, reviews, and ratings for courses, resources, and job listings. This dynamic community interaction fosters a collaborative environment where users can benefit from shared experiences, insights, and advice. The power of technology truly comes to the fore as the app employs advanced machine learning algorithms. These algorithms continuously analyse user behaviours, preferences, and success stories to fine-tune its recommendations, ensuring that the guidance provided becomes increasingly tailored and effective over time. In Summary the “Career Road Map Path” app represents a holistic solution that seamlessly blends data security, personalized career guidance, comprehensive job listings, exam preparation resources, and a thriving user community. By converging these essential elements, the app aspires to redefine the way individuals approach their career aspirations and set them on a trajectory toward success with confidence and clarity.

KEYWORDS

Career navigation Personalized guidance User security Intuitive login system Career Path Seekers Job Seekers Dual-pathway approach Government jobs Private sector employment Exam preparation Community interaction Machine learning algorithms Data-driven recommendations Holistic career solution Confidence and clarity.

Cite This Article

Ms. Prachi Khare, Amit Kumar Yadav, Harshita Gupta, Anamika, "CARRER PATH," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024. https://doi.org/10.55041/IJSREM35160

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12/31/45442

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Double-Blind Peer Review

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