STM Journals Peer-reviewed research from Consortium e-Learning Network

4 publications

  • Published Subscription Review Article

    Real-Time Cab Fare and ETA Prediction Using API Integration

    By Deep Rane, Adesh Pagar, Harshada Kadam, Vedant Raut, Sharayu Patil

    Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …

    Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article

  • Published Subscription Original Research

    Career Counselling and Personality Assessment App

    By Tejas Kailas Darekar, Vedant Ajit Kadlak, Jaydev Manna, Pratham Keshav Thombare, Sharayu Patil

    Abstract: From the early foundations of career counselling, the role of self-awareness in making informed career choices has been well recognized. Frank Parsons, widely regarded as the pioneer of career counselling, emphasized the necessity of understanding oneself to make wise career decisions. He proposed that this self-awareness should be systematically connected to job requirements and opportunities through logical reasoning and structured analysis. This approach aims to empower individuals to make well-informed …

    Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 63–69 Read article

  • Published Subscription Review Article

    Reduce Traffic Congestion Using Automated Traffic Navigation System

    By Shreyas Girish Chitnis, Anushka Vitthal Kadu, Maithilee Bharat Shinde, Swaraj Dilip Zavare, Sharayu Patil

    Abstract: The concept of activity routing without reliance on traditional activity signals is gaining significant traction. This innovative approach aims to enhance urban vehicular movement by eliminating the need for conventional traffic signal systems. This summary delves into the intricate realm of signal-free activity routing, incorporating advanced technologies such as artificial intelligence, machine learning, and sensor networks. The benefits, including reduced congestion, increased fuel efficiency, and improved traffic flow, are thoroughly …

    Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 34–40 Read article

  • Published Subscription Review Article

    Farming Forward: Integrating IoT, AI, and Image Processing for Sustainable Agriculture

    By Namrata Deshmukh, Rohit Deshmukh, Aditya Shelke, Chinmay Jadhav, Sharayu Patil

    Abstract: Farming Forward: Integrating IoT, AI, and Image Processing for Sustainable Agriculture" explores the convergence of cutting-edge technologies in revolutionizing traditional farming practices towards sustainability. This study investigates the integration of Internet of Things (IoT), Artificial Intelligence (AI), and Image Processing techniques in agricultural contexts, aiming to enhance efficiency, productivity, and environmental stewardship. Through a comprehensive review of recent advancements and case studies, this research elucidates the transformative potential of IoT-enabled …

    Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 52–69 Read article

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