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Case studies

Spam Identification

Multilingual, Highly accurate and Self-learning spam detection platform

  • Development time

    6 Months

  • Resources involved

    3 Professionals


One of our clients wanted to build a Spam identification solution for their organization. The product solution should be able to identify the spam emails.

Business Goal

Preprocess Multilingual emails

Feature selection and engineering

Build & Update classification models

Model Visualization

Model Statistics charts


There were multiple challenges while developing the solution like,

Accurately parsing and handling multilingual emails,

Providing over 80% accuracy and continuous training on new emails

Scaling solution for massive inflow with intact accuracy


System architecture

  • Our engineers have researched on many technologies and based on study we have decided various tools which best suited to solve this problem.
  • We have prepared custom analyzers and tokenizers to handle multi lingual data effectively. We have used BM25 weighting techniques, chi-square and feature scaling techniques, SVM algorithm to improve overall accuracy.
  • In the background, the system will automatically update classification model, validate it and generate various statistics. Based on the statistics various charts is generated which help users to check the performance of classification models.



We have followed sprint based application development, continuous development and continuous integrations.

Business requirements analysis.

Architecture design.

Application development.

Setup Environment and Application deployment.

Road map

Requirement Analysis
  • Brainstorm
  • Innovation
  • Research
  • Resource planning
Architecture Planning
  • Architecture Design
  • System Prototyping
  • Documentation
  • Back end development.
  • Front end development.
Quality Testing
  • Quality Assurance
  • User Acceptance Testing
  • Production
  • Evaluation

Business Benefits

Our Java, Machine learning development team have delivered elegant solution to the client organization as a result the users were able to identify the spam emails before it hits the inbox and user productivity with security improved by 8%. The client organization was able to tighten the security by implementing our solution in their organization..

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