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A Collaborative Mobile Based Interactive Framework for Improving Tribal Empowerment

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Computational Vision and Bio-Inspired Computing ( ICCVBIC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1108))

Abstract

Handling the user interactions and improving the responsiveness of the system through collaborative Recommendation system is the proposed framework. The application will have an interactive form that takes the user details. On valid user access the user is provided with options under a gallery as: Location wise Statistics, Tribes culture, Tribes Request and Tribal activities. The tribal users should be able to present their food products as part of the system. The tourist guest should be able to view the food products and place orders. Recommendation can be provided to the guest based on the past experience. The application will also facilitate for Geo Tagging of the users including tribes to improve their participation. The application will be developed using Android with cloud namely. The user statistics will be presented for region wise in a more visual manner. The Smart phones play a vital role in everyone’s life. In smart phones we have so many applications and the applications need to be tested. The mobile applications are tested for its functionality, usability, and for its consistency. There are two types of mobile application testing. They can be of non-automatic or automatic testing. In this study automated approach is discussed. An android based mobile testing needs native test applications which is used for testing a single platform.

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Acknowledgments

We are thankful to the people who contributed their time and shared their knowledge for this research.

Author information

Authors and Affiliations

  1. Department of Computer Science, and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India

    Senthilkumar Thangavel & B. Meenakshi

  2. Department of Social Work, Amrita Vishwa Vidyapeetham, Coimbatore, India

    T. V. Rajeevan

  3. Centre for Sustainable Future, Department of Chemical Engineering and Materials Science, Amrita Vishwa Vidyapeetham, Coimbatore, India

    S. Rajendrakumar

  4. Tribal Research Centre, Department of Tribal Welfare, Government of Tamil Nadu, Udhagamandalam, India

    P. Subramaniam & Udhaya Kumar

Authors
  1. Senthilkumar Thangavel
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  2. T. V. Rajeevan
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  3. S. Rajendrakumar
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  4. P. Subramaniam
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  5. Udhaya Kumar
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  6. B. Meenakshi
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Corresponding author

Correspondence to Senthilkumar Thangavel .

Editor information

Editors and Affiliations

  1. Department of CSE, RVS Technical Campus, Coimbatore, India

    S. Smys

  2. Faculty of Engineering, Faculdade de Engenharia da Universidade do Porto, Porto, Portugal

    JoĂŁo Manuel R. S. Tavares

  3. Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  4. School of Computing, Tokyo Institute of Technology, Tokyo, Japan

    Abdullah M. Iliyasu

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âś“ All authors declare that there is no conflict of interest.

âś“ No humans/animals involved in this research work.

âś“ We have used our own data.

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Thangavel, S., Rajeevan, T.V., Rajendrakumar, S., Subramaniam, P., Kumar, U., Meenakshi, B. (2020). A Collaborative Mobile Based Interactive Framework for Improving Tribal Empowerment. In: Smys, S., Tavares, J., Balas, V., Iliyasu, A. (eds) Computational Vision and Bio-Inspired Computing. ICCVBIC 2019. Advances in Intelligent Systems and Computing, vol 1108. Springer, Cham. https://doi.org/10.1007/978-3-030-37218-7_90

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