SAAS

SaaS Application

ClickIT developed an advanced API with machine learning.

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  • THE

Client Project

Our Client have been utilizing a combination of PHP and MySQL for its core operations, which are supported by AWS for its cloud infrastructure needs.  

These technologies became increasingly inadequate as its user base and data volume grew. They required advanced solutions to manage and categorize vast incoming data.

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  • THE

Challenge

The main challenge was developing an advanced API capable of processing text and image data to enhance their categorization system. This project demanded integrating existing systems, high-volume data handling, and secure, cost-effective operations.

  • REQUIREMENTS

Design an API that integrates with existing systems to handle high-request volumes.

Develop and train models that evolve through ongoing ML with provided datasets.

Create an intuitive interface for training and correcting model predictions.

Ensure the API meets high standards of data security and privacy.

Provide detailed guides and documentation for API integration and use.

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  • OUR

Implemented Service

ClickIT’s engineer developed machine learning models and implemented cloud-based training and deployment solutions. Python was utilized for its powerful machine learning libraries, Django was used for rapid web development, AWS Lambda was used for scalable serverless computing, and Docker was used for containerization.

  • OUR TECH STACK

Technologies we used in this project

Python

Docker

Django

AWS Lambda

CloudFormation

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Results

The partnership with ClickIT significantly enhanced the operational efficiency of our client. The new API provided quick and accurate data categorization, which improved user satisfaction and streamlined internal processes. 

The scalable and secure system allowed them to handle growing data volumes effortlessly. Implementing advanced machine learning models improved data categorization, improving overall service quality.

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