ResCall: An ATS-Oriented Resume and Job Description Matching System Using NLP-Based Skill Alignment and Accuracy Analysis | IJCT Volume 13 – Issue 2 | IJCT-V13I2P59
ResCall: An ATS-Oriented Resume and Job Description Matching System Using NLP-Based Skill Alignment and Accuracy Analysis | IJCT Volume 13 – Issue 2 | IJCT-V13I2P59
In today’s recruitment landscape, Applicant Tracking Systems (ATS) are the main gatekeepers for hiring. Over 90% of Fortune 500 companies use them to filter thousands of applications. Many college students have the right technical qualifications but still face rejection. This often comes from low ATS compatibility scores, keyword mismatches, and poor formatting that makes their resumes unreadable by automated parsers. This paper presents ResCall, a web-based evaluation platform that aims to close the gap between student resumes and industry job descriptions (JDs). By using Natural Language Processing (NLP) techniques, ResCall extracts specific skills, calculates semantic similarity, and provides a detailed ATS compatibility score. The system goes beyond basic keyword matching to find missing technical skills, ineffective action verbs, and structural problems. Tests on various student resumes show that ResCall effectively points out alignment gaps and gives useful feedback. This feedback increases the chances of passing initial screenings. This tool is a practical solution for students who want to improve their profiles for placements and internships.
ResCall provides a transparent and efficient way for students to navigate the complexities of modern hiring. By simulating the logic of an ATS, the system removes the guesswork from resume optimization. The integration of NLP-based skill alignment ensures that the feedback is not just about keyword stuffing, but about meaningful professional presentation. For colleges and training institutes, this tool can be a vital part of placement preparation, ensuring that students are not filtered out by algorithms before they ever get a chance to interview.
References
1.Sharma, Pallavi, Pradeep Pant, and Vijay Kumar Sharma. “A novel framework for optimizing government tender code extraction using extreme multi-label text classification.” Recent Trends in Intelligent Computing and Communication: Volume 1 (2025): 281.
2.Jain, Nainsi, Rambir Singh, and Vijay Kumar Sharma. “Early detection of crimes against women using deep learning-based video surveillance model: A review.” Recent Trends in Intelligent Computing and Communication: Volume 2 (2025): 105.
3.Jain, Pragya, Rambir Singh, and Vijay Kumar Sharma. “Optimized real-time energy prediction for EV power stations using hybrid algorithms- A review.” Recent Trends in Intelligent Computing and Communication: Volume 2 (2025): 106.
4.Sharma, Swati, Vijay Kumar Sharma, and Punit Mittal. “Sun Tracking System for Optimal.” Convergence of AI, Federated Learning, and Blockchain for Sustainable Development (2025): 247.
5.Sharma, Vijay Kumar, Swati Sharma, Mukesh Rawat, and Ravi Prakash. “Adaptive Particle Swarm Optimization for Energy Minimization in Cloud: A Success History Based Approach.” In Towards the Integration of IoT, Cloud and Big Data: Services, Applications and Standards, pp. 115-
130. Singapore: Springer Nature Singapore, 2023.
6.Gupta, Muskan, Prakarti Singh, and Vijay Kumar Sharma. “Loan eligibility prediction model using machine learning algorithms.” In Artificial Intelligence, Blockchain, Computing and Security Volume 2, pp. 20-26. CRC Press, 2024.
7.Sharma, Swati, Vijay Kumar Sharma, Punit Mittal, Pradeep Pant, and Nitin Rakesh. “Thyroid Cancer Prediction Using Optimizations.” AI-Based Advanced Optimization Techniques for Edge Computing: 153. 8.Sharma, Vijay Kr, Agam Gupta, Abhishek Kumar, and Mayank Kumar Singh. “Scrap collection system e- commerce platform: online Kabadiwala.” In 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT), vol. 5, pp. 787- 790. IEEE, 2024.
9.Sharma, Vijay Kumar, Md Iqbal, and Krishna Mohan Pandey. “A Unique Metaheuristic Algorithm for Human Urbanisation.” In 2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT), pp. 468-471. IEEE, 2023.
10.Sharma, Swati, Vijay Kumar Sharma, Rohit Aggarwal, and Rashmi Gupta. “Covid-19 Pandemic Predictive System Using Machine Learning.” In 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), pp. 534-539. IEEE, 2022.
11.Sharma, Swati, Vijay Kumar Sharma, Vimal Kumar, and Umang Arora. “Machine Learning Application
How to Cite This Paper
Akshun Jindal, Akshat Kansal, Avee Singh, Ansh Goel (2026). ResCall: An ATS-Oriented Resume and Job Description Matching System Using NLP-Based Skill Alignment and Accuracy Analysis. International Journal of Computer Techniques, 13(2). ISSN: 2394-2231.
