Name: Thilosha Nipunajith
Type: User
Company: SULECO
Bio: Born in 1997. I am a graduate from Faculty of Geomatics, SUSL. I am interested in Python, R, and SQL. I am passionate about spatial sciences.
Twitter: TNipunajith
Location: Colombo, Sri Lanka
Thilosha Nipunajith's Projects
3D Modelling using LiDAR pointclouds - Python
A project of SEDS Sabra
React Native log in athentication dummy
This Python script allows you to download Facebook 360 photos from a given Facebook link. It uses the requests library to fetch the photo and saves it to your local device. The downloaded photo can then be viewed using a specialized 360-degree image viewer.
Image enhancing using Python
An expo react native login system application for my YouTube video. Check README for more info.
Getting started with FLutter plus Dart
Dummy app followed by an aesthetic idea
This is regarding integrating a map using Google API.
Simple map integration using leaflets
Geospatial crop counting from drone orthophotos with python scikit learn and scikit image
site suitability analysis of biogas digester plant for municipal waste using GIS based modeling with multi criteria analysis
Mobile app for landslide detection
Messi and Ronaldo dominated world football during the last decade with a combined 12 FIFA Ballon d'Or awards. Both players are considered to be amongst the greatest players of all time and they're frequently compared to each other.
Starter code for the Mi Card Project from the Complete Flutter Development Bootcamp
This is an example of how to call an stats.nba.com endpoint and access the data returned. This example can be applied to all stats endpoints. Let's say we want to get the player information for LeBron James
Quantifying point overlap for NBA shot chart data
Shot Chart, Hexmap and Heatmap for NBA.com. FlightsReact.
Tried simple level automatic digitization using Python libraries + simple manually digitized tiles
Potato crops are vulnerable to early and late blight diseases, reducing production. A deep learning model can detect these diseases by analyzing crop leaves, even under challenging conditions, offering promise for practical use.
This is a dataset containing records from the new crime incident report system, which includes a reduced set of fields focused on capturing the type of incident as well as when and where it occurred. Records begin in June 14, 2015 and continue to September 3, 2018.
Use rainfall data predict landslide occur or not
Synced-up chart location data side by side with animations
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent