Shabana Tousiph Pirjade

@jspmrscoe.edu.in

Assistant Professor computer Department
https://www.jspmrscoe.edu.in/faculty/1283/Prof.%20Shabana%20T.%20Pirjade%20

Shabana Tousiph Pirjade


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https://researchid.co/stpirjade_comp

EDUCATION

M.Tech Computer Engineering

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Computer Science, Artificial Intelligence, Computer Networks and Communications
12

Scopus Publications

Scopus Publications

  • Enhancing Athletic Performance Through an AI-Based Sports Application
    Nayan Suresh Patil, Shabana Pirjade, Yash Dattatray Londhe, Yogeshwar Anil Patil, Tej Tushar Jadhav
    Smart Innovation Systems and Technologies, 2026
  • Disease Prediction in Sericulture and Automation
    Seema V. Kedar, Shabana Pirjade, Avinash Chhabu Shelar, Dheeraj Sharma, Harshita Daftari, Rushikesh Manoj Gholap
    Lecture Notes in Networks and Systems, 2026
  • Computer Vision Enabled Smart Refrigerator: A Detachable Module Approach
    Rohan Lambar, Shivam Chavan, Nitin Patil, Sarthak Nevase, Shabana. T. Pirjade
    IEEE International Conference on Next Generation Information System Engineering Ngise 2025, 2025
    In modern families, there is a growing need to manage food in ways that reduce waste, support healthy eating habits, and make daily meal planning easier. This paper introduces a detachable module based on computer vision that can change a standard refrigerator into a smart food management system. It has an onboard camera that captures pictures of the stored products when door of refrigerator is detected as open , using advanced image recognition sets of computer instructions to identify and classify them as food. Data that is identified is further moved to a centralized database so that quantity of items stored can be watched in real time. This module also provides smart abilities for suggesting recipes according to available ingredients, track expiry date and nutrition analysis. This helps users choose the healthier option in the given menu. By taking advantage of machine learning models, the module can describe a possible future event of extremely important items and tell users by making sure of appropriately-timed restocking. This detachable design makes sure of compatibility with a wide range of refrigerators, making it cost effective and easy to get. The proposed system has the possible ability to food management by improving convenience, reducing waste, and health-conscious decision-making in everyday life.
  • AI-Driven Skin Disease Detection, Diagnosis, and Tailored Medication Recommendations Model
    Sneha Rajendra Jadhav, Shabana Pirjade, Vinodkumar Bhutnal, Lakhan Rathod, Sonali Jagdale, Janvi Naik
    Lecture Notes in Networks and Systems, 2025
  • Prediction of e-Mental health of user using machine learning models and Explainable AI methods with IoT devices
    Shabana Pirjade, Diya Salunkhe, Shripad Vichare, Amruta Hingmire, Samrudhi Parte, Avinash Golande
    Explainable Artificial Intelligence Based Industrial Internet of Things Technologies and Applications, 2025
    The daily working of person depends on various factors where mental state and well-being of person play a very important role. In the developing era of digitalization, the new emerging technologies have developed new opportunities to address mental health challenges with more improvement and efficiency. One of the most important factors or indicators to detect the mental state of person is the voice patterns; the variance of the tone of person indicates the state of mind or person, which can be processed and issues like stress, anxiety or depression can be identified. The prediction of mental health of the person using the digital methods is one of very important aspects. The prediction of application works on the changes in the tones of user while communicating with the system. Security measures are taken into consideration and kept enhanced, and the system will be user friendly, making every user use it more easily and effectively. The NLP technique is purposely used in the chatbot so that the function of speech recognition is done and the chatbot will be able to understand what the user wants to communicate and classify sentiments. This helps the user and the bot to be more communicative, and the interaction is established by breaking barriers. To overcome the language barriers, NLP helps to communicate in various languages, making it very accessible and can be used by diverse audience. The collection of data is stored securely, and it is compared to the training dataset to generate meaningful insights, helping the user manage the mental health more effectively. The backend is implemented by using the Flutter and firebase, which ensure that the data is managed efficiently and serves a user-friendly experience.
  • Enhancing substation maintenance and anomaly detection through image processing, Explainable AI and Industrial Internet of Things (IIoT)
    Shreyas Holkar, Hrishita Gulumkar, Khushi Rane, Amruta Hingmire, Shabana Pirjade, Shwetal Raipure
    Explainable Artificial Intelligence Based Industrial Internet of Things Technologies and Applications, 2025
    Substation maintenance is crucial for the smooth working of electricity transmission and distribution. Many of the procedures and protocols that are supposed to be followed are not known to the technicians and some engineers working there. The proposed framework is to create a generative Artificial Intelligence model with which the people working in the substations can be made aware of the procedures that need to be followed without the need to go through all the paperwork manually. The idea is to not only automate but also make a predictive model, which can help in knowing whether maintenance is needed or not, and if it is, then what steps should be followed. This could also mean that based on the data provided, one can also analyse the current status of the components in a substation and conclude when to conduct maintenance. The introduction of new equipment requires training for engineers and technicians. This system can enable one to work with newer equipment while providing guidelines on how one can use it. Along with this, the model will also include the analysis of faults presented as various images using image processing while making sure that accuracy is not compromised as well as the analysis of images of various substation equipment and components to detect if there is any fault/defect in the equipment or component.
  • Specialized App for Smart Sports Industry
    Shabana Pirjade, Avinash Golande, Dhanraj Jadhav, Nayan Suresh Patil, Yash Dattatray Londhe, Yogeshwar Anil Patil, Tej Tushar Jadhav
    Lecture Notes in Networks and Systems, 2025
  • A Systematic Study On Cloud Forensic Framework, Challenges And Technologies Used For Evidence Preservation
    S. T. Pirjade, Prashant Dhotre
    2024 IEEE International Conference on Blockchain and Distributed Systems Security Icbds 2024, 2024
    In this study we have focused on 3 research questions and tried to do analysis of that questions. The term "cloud computing" is wide yet ambiguous, encompassing a range of dynamically allocated services. Cloud computing can be seen as having two benefits and drawbacks for forensic analysis and legal applications. On the one hand, obtaining digital evidence from cloud sources could pose challenging legal and technological issues across jurisdictions. One potential remedy for these issues is the cloud forensic zero trust concept. A diligent and critical attitude to security is required when using the zero-trust model for cloud forensics, since no user or device can be considered completely trustworthy. In this paper we have proposed a zero trust model for security of evidence in cloud forensic. Cloud forensic investigations are crucial for identifying and analysing security incidents within cloud environments. By adopting a least privilege approach, organizations can minimize the attack surface and limit potential exposure to security risks. Additionally, leveraging encryption and strong identity management practices further strengthens the security of cloud forensic processes. Organizations may proactively identify and address security events in their cloud environments by combining threat detection tools and advanced security analytics. This proactive strategy improves the overall security posture and increases the efficacy of forensic investigations. This study outlined a number of debate points that paved the path for technological advancement in the future when it comes to crime scene evidence.
  • Mental Health Prediction and Support Application
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Maximizing P2P file access availability in mobile AdHoc networks though replication for efficient file sharing
    Shabana Pirjade, Rakhi R. Burghate, Prachi G. Ghogare, Ashwini Ghotkule, Jyoti Jatade
    Proceedings of the 2nd International Conference on Inventive Systems and Control Icisc 2018, 2018
    File sharing applications in mobile ad hoc networks (MANETs) have attracted more and more attention in recent years. The efficiency of file querying suffers from the distinctive properties of such networks including node mobility and limited communication range and resource. An intuitive method to alleviate this problem is to create file replicas in the network. However, despite the efforts on file replication, no research has focused on the global optimal replica creation with minimum average querying delay. Specifically, current file replication protocols in mobile ad hoc networks have two shortcomings. First, they lack a rule to allocate limited resources to different files in order to minimize the average querying delay. Second, they simply consider storage as available resources for replicas, but neglect the fact that the file holders' frequency of meeting other nodes also plays an important role in determining file availability. Actually, a node that has a higher meeting frequency with other provides higher availability to its files. This becomes even more evident in sparsely distributed MANETs, in which nodes meet disruptively. In this paper, we introduce a new concept of resource for file replication, which considers both node storage and meeting frequency. We theoretically study the influence of resource allocation on the average querying delay and derive a resource allocation rule to minimize the average querying delay. We further propose a distributed file replication protocol to realize the proposed rule. Extensive trace-driven experiments with synthesized traces and real traces show that our protocol can achieve shorter average querying delay at a lower cost than current replication protocols.
  • User conventional root detection for indoor mall
    Shabana Pirjade, Sneha Sondkar, Neha Pol, Chetana Shete, Sara Shaikh
    Proceedings of the 2nd International Conference on Inventive Systems and Control Icisc 2018, 2018
  • Ensuring data storage security in cloud computing through two-way handshake based on token management
    M.R. Tribhuwan, V.A. Bhuyar, Shabana Pirzade
    Proceedings 2nd International Conference on Advances in Recent Technologies in Communication and Computing Artcom 2010, 2010

GRANT DETAILS

AICTE Spices Grant for Coding Club

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

Usb Connector Embedded With Lcd Projector,
Usb To Usb Wireless Connect Flash Drive.

INDUSTRY EXPERIENCE

1 year