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$5 USD / time
SRI LANKAs flagg
gampaha, sri lanka
$5 USD / time
Det er for øyeblikket 5:38 a.m. her
Ble med mars 19, 2021
0 Anbefalinger

Nirmal S.

@nirmalSankalana

 4,9 (3 omtaler)
2,7
2,7
100%
100%
$5 USD / time
SRI LANKAs flagg
gampaha, sri lanka
$5 USD / time
100 %
Jobber fullført
100 %
Innenfor budsjett
100 %
I tide
N/A
Gjenansettelsesrate

Full Stack Dev | Machine Learning Enthusiast

As a final-year undergraduate studying Data Science and Engineering at the University of Moratuwa, I've spent 4+ years mastering full-stack development and delving into Machine Learning for over 2 years. Working as a Machine Learning Engineer in Sri Lanka, I've collaborated with diverse international clients, gaining valuable experience in creating and implementing effective machine learning models. Committed to excellence, I stay abreast of the latest technological advancements, ensuring top-notch services that go beyond client expectations.
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Kontakte Nirmal S. angående jobben din

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Portefølje

11232121
Explore global happiness trends with the "Happiness Insights" Streamlit-Plotly Dashboard. Discover intriguing insights: corruption isn't linked to happiness, while factors like GDP, education, and health strongly influence it. Uncover geographic patterns, with neighbouring countries sharing similarities. Visualize data through choropleth maps, line charts, and scatter plots. Utilize interactive features like filtering, zooming, and multi-select. Technologies include Streamlit, Folium, Plotly, Pandas, Geopandas, and Alta. Delve into this dynamic platform to gain valuable perspectives on global well-being. Dashboard: happiness-insights.streamlit.app
Happiness Insights - Streamlit-Plotly Interactive Dashboard
Explore global happiness trends with the "Happiness Insights" Streamlit-Plotly Dashboard. Discover intriguing insights: corruption isn't linked to happiness, while factors like GDP, education, and health strongly influence it. Uncover geographic patterns, with neighbouring countries sharing similarities. Visualize data through choropleth maps, line charts, and scatter plots. Utilize interactive features like filtering, zooming, and multi-select. Technologies include Streamlit, Folium, Plotly, Pandas, Geopandas, and Alta. Delve into this dynamic platform to gain valuable perspectives on global well-being. Dashboard: happiness-insights.streamlit.app
Happiness Insights - Streamlit-Plotly Interactive Dashboard
Explore global happiness trends with the "Happiness Insights" Streamlit-Plotly Dashboard. Discover intriguing insights: corruption isn't linked to happiness, while factors like GDP, education, and health strongly influence it. Uncover geographic patterns, with neighbouring countries sharing similarities. Visualize data through choropleth maps, line charts, and scatter plots. Utilize interactive features like filtering, zooming, and multi-select. Technologies include Streamlit, Folium, Plotly, Pandas, Geopandas, and Alta. Delve into this dynamic platform to gain valuable perspectives on global well-being. Dashboard: happiness-insights.streamlit.app
Happiness Insights - Streamlit-Plotly Interactive Dashboard
Explore global happiness trends with the "Happiness Insights" Streamlit-Plotly Dashboard. Discover intriguing insights: corruption isn't linked to happiness, while factors like GDP, education, and health strongly influence it. Uncover geographic patterns, with neighbouring countries sharing similarities. Visualize data through choropleth maps, line charts, and scatter plots. Utilize interactive features like filtering, zooming, and multi-select. Technologies include Streamlit, Folium, Plotly, Pandas, Geopandas, and Alta. Delve into this dynamic platform to gain valuable perspectives on global well-being. Dashboard: happiness-insights.streamlit.app
Happiness Insights - Streamlit-Plotly Interactive Dashboard
11232102
The client provided us with a series of videos containing several items passing through a conveyor belt. My objective was to build a deep-learning model that could accurately detect these items as they passed through the belt. To achieve this, I utilized YOLOv8, a powerful object detection algorithm that leverages convolutional neural networks (CNNs) to accurately identify objects in images and videos. I began by creating a dataset using the available videos, which included data annotation and labelling. We also conducted data augmentation to increase the size and diversity of the dataset. Overall, my deep learning model using YOLOv8 successfully detected the items passing through the conveyor belt with high accuracy. This project involved various tasks, including data set creation, data augmentation, model training, and evaluation.
Conveyor Object Detection
The client provided us with a series of videos containing several items passing through a conveyor belt. My objective was to build a deep-learning model that could accurately detect these items as they passed through the belt. To achieve this, I utilized YOLOv8, a powerful object detection algorithm that leverages convolutional neural networks (CNNs) to accurately identify objects in images and videos. I began by creating a dataset using the available videos, which included data annotation and labelling. We also conducted data augmentation to increase the size and diversity of the dataset. Overall, my deep learning model using YOLOv8 successfully detected the items passing through the conveyor belt with high accuracy. This project involved various tasks, including data set creation, data augmentation, model training, and evaluation.
Conveyor Object Detection
11232121
Explore global happiness trends with the "Happiness Insights" Streamlit-Plotly Dashboard. Discover intriguing insights: corruption isn't linked to happiness, while factors like GDP, education, and health strongly influence it. Uncover geographic patterns, with neighbouring countries sharing similarities. Visualize data through choropleth maps, line charts, and scatter plots. Utilize interactive features like filtering, zooming, and multi-select. Technologies include Streamlit, Folium, Plotly, Pandas, Geopandas, and Alta. Delve into this dynamic platform to gain valuable perspectives on global well-being. Dashboard: happiness-insights.streamlit.app
Happiness Insights - Streamlit-Plotly Interactive Dashboard
Explore global happiness trends with the "Happiness Insights" Streamlit-Plotly Dashboard. Discover intriguing insights: corruption isn't linked to happiness, while factors like GDP, education, and health strongly influence it. Uncover geographic patterns, with neighbouring countries sharing similarities. Visualize data through choropleth maps, line charts, and scatter plots. Utilize interactive features like filtering, zooming, and multi-select. Technologies include Streamlit, Folium, Plotly, Pandas, Geopandas, and Alta. Delve into this dynamic platform to gain valuable perspectives on global well-being. Dashboard: happiness-insights.streamlit.app
Happiness Insights - Streamlit-Plotly Interactive Dashboard
Explore global happiness trends with the "Happiness Insights" Streamlit-Plotly Dashboard. Discover intriguing insights: corruption isn't linked to happiness, while factors like GDP, education, and health strongly influence it. Uncover geographic patterns, with neighbouring countries sharing similarities. Visualize data through choropleth maps, line charts, and scatter plots. Utilize interactive features like filtering, zooming, and multi-select. Technologies include Streamlit, Folium, Plotly, Pandas, Geopandas, and Alta. Delve into this dynamic platform to gain valuable perspectives on global well-being. Dashboard: happiness-insights.streamlit.app
Happiness Insights - Streamlit-Plotly Interactive Dashboard
Explore global happiness trends with the "Happiness Insights" Streamlit-Plotly Dashboard. Discover intriguing insights: corruption isn't linked to happiness, while factors like GDP, education, and health strongly influence it. Uncover geographic patterns, with neighbouring countries sharing similarities. Visualize data through choropleth maps, line charts, and scatter plots. Utilize interactive features like filtering, zooming, and multi-select. Technologies include Streamlit, Folium, Plotly, Pandas, Geopandas, and Alta. Delve into this dynamic platform to gain valuable perspectives on global well-being. Dashboard: happiness-insights.streamlit.app
Happiness Insights - Streamlit-Plotly Interactive Dashboard
11232102
The client provided us with a series of videos containing several items passing through a conveyor belt. My objective was to build a deep-learning model that could accurately detect these items as they passed through the belt. To achieve this, I utilized YOLOv8, a powerful object detection algorithm that leverages convolutional neural networks (CNNs) to accurately identify objects in images and videos. I began by creating a dataset using the available videos, which included data annotation and labelling. We also conducted data augmentation to increase the size and diversity of the dataset. Overall, my deep learning model using YOLOv8 successfully detected the items passing through the conveyor belt with high accuracy. This project involved various tasks, including data set creation, data augmentation, model training, and evaluation.
Conveyor Object Detection
The client provided us with a series of videos containing several items passing through a conveyor belt. My objective was to build a deep-learning model that could accurately detect these items as they passed through the belt. To achieve this, I utilized YOLOv8, a powerful object detection algorithm that leverages convolutional neural networks (CNNs) to accurately identify objects in images and videos. I began by creating a dataset using the available videos, which included data annotation and labelling. We also conducted data augmentation to increase the size and diversity of the dataset. Overall, my deep learning model using YOLOv8 successfully detected the items passing through the conveyor belt with high accuracy. This project involved various tasks, including data set creation, data augmentation, model training, and evaluation.
Conveyor Object Detection

Anmeldelser

Endringer lagret
Viser 1 - 3 av totalt 3 omtaler
 Filtrer anmeldelser etter:
5,0
$332,00 NZD
Deep Learning Task
Nirmal superbly completed my computer vision project. His exceptional communication and unwavering dedication in clarifying my queries left me thoroughly impressed. I enthusiastically endorse him for all things machine learning, deep learning, and Python tasks. Additionally, he promplty and efficiently resolved all the queries arose due to re-running the notebook code on my system using Google CoLab. Excited for our future collaborations and highly recommended!
Python
Algorithm
Machine Learning (ML)
Artificial Intelligence
Deep Learning
Brukeravatar
s flagg Hinna T.
@hinnaa
•
7 måneder siden
3,8
$15,00 USD
tensorflow object detection webpage
Good communication and effort
Java
JavaScript
Website Design
HTML
Flask
M
s flagg Marcio A.
@malmeida123
•
ett år siden
5,0
$15,00 USD
Project 36526008 has been deleted
He is a talented young programmer, proficient in AI related and machine learning tasks. I highly recommend him for any projects in these areas.
Brukeravatar
s flagg Gihan P.
@GihanPathirage
•
ett år siden

Erfaring

Software Engineer

Eyepax
jan. 2023 - jul. 2023 (6 måneder, 1 dag)
Implemented a salon booking system using the MERN stack. Developed a smart chatbot microservice for an Australian Digital Marketing Platform, leveraging OpenAI and FastAPI. Implemented an advanced fine-tuning pipeline to optimize the chatbot's performance and accuracy in answering customer queries.

Utdanning

BSc. Engineering Hons. (Computer Science and Engineering)

University of Moratuwa, Sri Lanka 2019 - 2023
(4 år)

Kvalifikasjoner

Introduction to Deep Learning

Kaggle
2023
Kaggle's Introduction to Deep Learning course offers a concise introduction to the fundamentals of deep learning. It equips learners with essential knowledge and practical skills to embark on their deep learning journey efficiently.

Python API Programming with FastAPI and Flask

Udemy
2023
Udemy's 4.5-hour course on Python API Programming with FastAPI and Flask is a comprehensive guide for building robust APIs. It covers both FastAPI and Flask frameworks, offering practical skills for creating efficient web services in Python.

Introduction to Machine Learning

Kaggle
2022
Kaggle's Introduction to Machine Learning course provides a foundational understanding of machine learning concepts, making it accessible for beginners. It covers key topics and practical applications in a user-friendly way.

Kontakte Nirmal S. angående jobben din

Logg inn for å diskutere eventuelle detaljer over chat.

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Toppferdigheter

Machine Learning (ML) 2
JavaScript 1
Python 1
Flask 1
PHP

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