Techspecs
This project is User Assistant Site for buying several kind of Mobile Phones
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Front End is built with React.Js and Next.Js
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Node.Js is used for building Back End APIs
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Elastic Search algorithm is used for Searching
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Designed AI models for comparing devices'specs so that suggest best one to user.
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Using python Deep Learning Framework - Tensorflow, trained several models and select the best one for this project.
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Faster release cycles with the CI/CD pipeline and Reliable Maintenance.
This project is is a framework for Django designed for domain-driven sites.
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Structured such that any part of the core functionality can be customized to suit the needs of project.
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Allows a wide range of e-commerce requirements to be handled.
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Automatically deployed via the official docker sandbox image.
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Contributed to building frond end templates.
This project is for Restaurant Management through online site.
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Develop independently deployable and scalable micro-services based on best practices using containerization.
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Developed as a Single Page Applications using React.Js
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Introduced Solid Design Principles.
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GraphQL is used for presenting trends of business.
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CI/CD pipelines is used for release project and deployment.
This project is real world web project for car renting business.
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Motivation was to complete the C# and Angular combined project
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Front-End is developed with Angular.JS
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Contributed to building Front-End pages with SOLID coding principls and well suited designs.
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Contributed to increasing project scalability using n_Layered Architecture.
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Back End is built with C#.
