Pasindu Dilmin Weerasinghe

Pasindu Dilmin Weerasinghe

Moratuwa, Western Province, Sri Lanka
1K followers 500 connections

About

As a Full Stack Software Engineer, I have dedicated my passion and ambition to web and…

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Experience

  • Data Capture Experts Pty Ltd Graphic

    Data Capture Experts Pty Ltd

    Colombo, Western Province, Sri Lanka

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    Colombo, Western Province, Sri Lanka

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    Colombo, Western Province, Sri Lanka

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    Colombo, Western, Sri Lanka

Education

  • Kingston University Graphic

    Kingston University

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    Activities and Societies: Programming - Patterns and Algorithms Software Development Practice Mobile Application Development Final Individual Project

    Kingston University London is a public research university located in South West London, United Kingdom. Though its roots go back to 1899, Kingston University has established itself as a modern university specialised in arts, design, fashion, science, engineering, and business.

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Licenses & Certifications

Courses

  • BSc (Hons) , Computer Science in Software Engineering

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  • Higher National Diploma, Computer Software Engineering

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Projects

  • Eco-tree ( Crop & Fertilizer Prediction ) Web Application

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    Eco-tree is a machine learning-based web application built using Angular-14 and Flask. Eco-tree is used for recommending Crops and Fertilizers based on the soil features. The application used three accurately predicting models to make the final predictions. The link for the project contains the Project URL section of this.

    An API was built using Flask and was deployed on AWS. This Flask API is used to get the recommendation made by the machine learning models in JSON format. The input…

    Eco-tree is a machine learning-based web application built using Angular-14 and Flask. Eco-tree is used for recommending Crops and Fertilizers based on the soil features. The application used three accurately predicting models to make the final predictions. The link for the project contains the Project URL section of this.

    An API was built using Flask and was deployed on AWS. This Flask API is used to get the recommendation made by the machine learning models in JSON format. The input data is sent as a POST request to the API to get the predicted information.

    Angular-14 was used to build the frontend part of the application and deployed on AWS. A third-party Library Material UI is used along with angular for the frontend part of the web application.

    See project

Languages

  • English

    Professional working proficiency

  • Sinhalese

    Native or bilingual proficiency

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