ResuMatcher: An Intelligent Resume Ranking System Prasad Dhobale, Vinayak Bhoir, Abhijeet Vyavhare, Pratik Yelkar, Pramod A. Dharmadhikari 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2025, 2025 The growing complexity of recruitment processes necessitates advanced solutions for resume screening and ranking. In this paper, we present ResuMatcher, an AI-powered resume ranking system that leverages the power of Large Language Models (LLMs) for semantic understanding. Unlike traditional keyword-based systems, ResuMatcher evaluates the context and meaning behind terms in resumes and job descriptions, providing a more accurate and efficient matching process. Using models such as BERT and transformer-based architectures, ResuMatcher can assess candidate qualifications by considering the underlying semantics of job requirements and candidate skills. The system was evaluated on a diverse dataset across industries such as IT, healthcare, and finance, and showed a significant improvement in both accuracy and efficiency compared to conventional Applicant Tracking Systems (ATS). Results from user testing demonstrated high satisfaction rates among both job seekers and recruiters, highlighting ease of use, relevance of matches, and efficiency gains in the hiring process
Medical Prescription Generator using Natural Language Processing Siddhesh Paithankar, Snehal Patil, Ashlesha Shivgan, Mandar Mahabudhe, Pramod Dharmadhikari Proceedings of 2025 3rd International Conference on Intelligent Systems Advanced Computing and Communication Isacc 2025, 2025 With the increasing population in India and the limited availability of medical professionals, time efficiency in diagnosis and prescription generation has become crucial. This paper proposes an automated system leveraging Natural Language Processing (NLP) and Natural Language Generation (NLG) to assist doctors in generating patient history and prescription suggestions. The system utilizes previously typed words to predict the next word, drawing on a medical notes dataset tailored to the doctor’s specialization. By giving keywords or short descriptions about a patient’s condition, the system processes the input using NLP for contextual under-standing and employs NLG to generate detailed histories and prescriptions in a standardized format. This dual approach ensures that the output aligns with medical conventions while maintaining accuracy and efficiency. The system is trained on extensive medical datasets, optimizing its predictions over time through machine learning techniques. Our solution not only enhances accuracy but also reduces the time doctors spend on manual documentation, improving overall efficiency and patient care.
An android based smart robotic vehicle for border security surveillance system Krunal B. Pawar, Nagaraj V. Dharwadkar, Pradeep A. Deshpande, Shivakumar K. Honawad, Pramod A. Dharmadhikari Proceedings 2021 4th International Conference on Computational Intelligence and Communication Technologies Ccict 2021, 2021 Monitoring wide borders of the nation for 24/7 has become the vital role in field of national defense and security system against Terrorism. Knowingly or unknowingly Trespassers crosses borders illegally for smuggling, illegal weapons and goods transport, undocumented migration etc. In the present situation, the border monitoring process is being taking place manually by nations border security forces (BSF) these people are responsible for constantly monitoring nations borders. It requires more number of Human Resources and specific assets as the borders are spread across thousands of miles and have vast geographical area also has different climate conditions. With help of advanced technology, Practice of patrolling on the borders can be automated by using PIR sensors to detect the Trespasser, Raspberry pi camera to continuously surveillance, Android based controlling system for Robotic Vehicle movement and wireless networking technology for sending information to the control room for further action. In this technical paper we are proposing An Android based Smart Robotic Vehicle for Border Security Surveillance system.
