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@article{175223,
        author = {Abhishek Singh and Aryan Sanjay Tandon and Atharva Singh and Prof. Sansar Singh Chauhan},
        title = {HireHelp – A Smart Interview Scheduler},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {2136-2141},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175223},
        abstract = {With the continuously expanding job market, with varying requirements, it has become essential for organizations to make their hiring process smooth and reduce the time consumed in this process as much as possible, so that they can focus more on hiring quality employees and not spend much time on redundant tasks. HireHelp – A Smart Interview Scheduler resolves the issues that traditional recruitment faces with the modern job market requirements and increases the efficiency of some steps in the traditional recruitment process by adapting to the latest technology trends specifically, Machine Learning and Large Language Models. The primary aim of this paper is to reduce the workload on hiring managers, and make the hiring process more efficient by automating redundant tasks also making the process more streamlined using ML Techniques like text similarity by embeddings generation.},
        keywords = {Hiring Process, Interview Scheduling, Large Language Models, Machine Learning, Text Similarity},
        month = {April},
        }