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T MUNI

Software Program Developer
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Location Hyderabad
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Total Views60
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Member since30+ Days ago
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Candidate Information
  • User Experience
    Experience 2 Year
  • Cost
    Hourly Rate$4
  • availability
    Availability1 Month
  • work from
    Work FromAny
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    CategoryInformation Technology & Services
  • back in time
    Last Active OnFebruary 09, 2026
Key Skills
Spring Framework HibernateJavaPython
Summary

OBJECTIVE:

“To obtain a position as a Software Program Developer in a challenging environment that utilizes team-Work effort for Researching, Learning and Developing high-tech products”.


PROFESSIONAL SUMMARY:

  • Strong Technical skills in Core Java And Phyton .
  • Strong knowledge in OOPs Concepts
  • Technologies in JDBC, Servlet, JSP.
  • Exposure to Spring Framework with Hibernate.
  • Python framework in django.
  • Good knowledge in HTML, JAVASCRIPT,ORACLE,SQL.
  • Good knowledge in windows OS installation process and Net working

PROJECT DETAILS:                                

Project Title                         : PRIVACY POLICY INFERENCE OF USER  

          UPLOADED  IMAGES ON CONTENT SHARING SITE

Software Requirements:

·        Operating system             :          Windows Family.

·        Coding Language            :          J2EE.

·        Database                          :          My SQL.

·        Web Server                      :          Glass Fish server (OR) Tomcat server.

·        IDE                                  :          Net beans 8.2(OR)eclipse

DESCRIPTION:

                       More and more people go online today and share their personal images using popular web services like Picasa. While enjoying the convenience brought by advanced technology, people also become aware of the privacy issues of data being shared. Recent studies have highlighted that people expect more tools to allow them to regain control over their privacy. In this work, we propose A3P system to help users compose privacy settings for their images. In particular, we examine the role of image content and Meta data as possible indicators of users' privacy preferences. We propose a two-level image classification framework to obtain image categories which may be associated with similar policies. Then, we develop a policy prediction algorithm to automatically generate a policy for each newly uploaded image.

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