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You will get GUI for your desktop app using Qt Python, WPF C# or Electron Javascript
Top Rated
You will get GUI for your desktop app using Qt Python, WPF C# or Electron Javascript
Top Rated
Project details
Please message me before placing the order. Consultation is free and not included in the total cost.
I will help you create a GUI for your project. I had plenty experience making GUIs using Python, Electron JS, C#/.Net and XAML, plus a bit of Java for controlling an autonomous robot.
What I can do:
User interface
Dashboard
Splash screen
App icon
Buttons, scrollers, knobs, etc.
Dynamic graphs and charts
Animation
Data logger
Device connection
Database setup
In each delivery I will guarantee the following:
Clean and modern looking UI
Bugs and performance testing
Constant communication for clarity and updates
Negotiable and competitive pricing
Look forward to work with you ;-)
I will help you create a GUI for your project. I had plenty experience making GUIs using Python, Electron JS, C#/.Net and XAML, plus a bit of Java for controlling an autonomous robot.
What I can do:
User interface
Dashboard
Splash screen
App icon
Buttons, scrollers, knobs, etc.
Dynamic graphs and charts
Animation
Data logger
Device connection
Database setup
In each delivery I will guarantee the following:
Clean and modern looking UI
Bugs and performance testing
Constant communication for clarity and updates
Negotiable and competitive pricing
Look forward to work with you ;-)
Programming Languages
C#, Python, JavaScriptDesktop App Expertise
App Design, Application Setup & Installation, Development, Software Debugging, Performance Optimization, Localization, Application Review & OptimizationWhat's included
Service Tiers |
Starter
$30
|
Standard
$50
|
Advanced
$99.99
|
---|---|---|---|
Delivery Time | 5 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Source Code |
Frequently asked questions
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AM
Ana M.
Oct 21, 2024
Python graphs enviroment
IY
Ismael Y.
Aug 5, 2024
Data Scientist - Product Matching between Retailers
Working with Anthoneo has been an exceptional experience. The project was well-defined, and expectations were clear from the outset, which allowed for efficient and productive work. Anthoneo provided timely feedback and was always available to address any questions or concerns, fostering a collaborative and supportive environment. The task involved complex data analysis, and Anthoneo's guidance helped streamline the process, making it both challenging and rewarding. Thank you Anthoneo!
LD
Luigi D.
Jun 19, 2024
Vector Database integration
FR
Fabio R.
May 7, 2024
Training LLM with local data
Anthoneo is very skilled and a great developer.
We'll hire him again in the future for sure!
We'll hire him again in the future for sure!
FR
Fabio R.
Mar 6, 2024
Tutorial and example code for using Hugging Face models / service in custom software
Anthoneo was able to provide good solutions for the problem, with code examples and support.
About Anthoneo
Machine Learning Engineer
96%
Job Success
Kota Kinabalu, Malaysia - 11:26 am local time
I am adept at reading and implementing research papers, allowing me to recognize when client problems necessitate solutions that can only be effectively addressed through the application of methodologies outlined in specific papers. I spend my free time in Kaggle to keep myself abreast with implementation the latest techniques and study how rockstar data scientists make their solution highly efficient and robust
I am a firm believer in documentation. I invest time in commenting and documenting, recognizing the invaluable time saved during future revisions, especially in large-scale projects. I adhere to a systematic, scalable, and commonly accepted workflow. For instance, I prioritize project versioning with Git and favor containerized deployment with Docker.
With a track record of solving difficult algorithmic problems, I find joy in overcoming challenges. Clients have attested to how my assistance has rescued their projects.
Experience
-----------------------------
- Title recommendation system: Generate titles based on description, tags, and category using LangChain.
- Product matching from two retailers: This project involves a complex pipeline of data processing (including tokenization, translation, and Faiss indexing) and feature engineering (identifying frequent words, high-importance words, and price per unit). I utilize XGBoost to train a match presence detection model followed by regression for finding the closest match.
- Impact study of the adoption of smart homes on the UK grid: Conduct Monte Carlo simulations of appliance usage and train a demand forecast model using an ensemble of LGBM and CatBoost. Model tuning involves adjusting the lookback horizon of demand and the lookforward horizon of forecasted data (including weather, energy price, etc.).
- NxNxN Rubik’s cube solver using Iterative Deepening A* algorithm (IDA*): Employ heuristics to prune possible paths.
- Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for ECG classification: Feature extraction involves digital signal processing in the time and frequency domain, waveform morphology, and statistical values. The ANFIS classifier is then trained with these features.
- Dashboard for weighbridge using D3: Develop a desktop GUI using Electron and utilize the D3 library for data visualization.
- Report generation for a hair product factory using Tableau: Integrate live data feeds queried with SQL and automate report generation.
Tech Skills
-----------------------------
ML Framework 🤖
- Scikit-learn
- Pytorch
- Tensorflow
- XGBoost
- NVIDIA TensorRT
Database Management 🗃️
- MSSQL
- MySQL
- PostgreSQL
- Firebase
- Pinecone
Cloud Technologies ☁️
- AWS (SageMaker, Lambda, EC2)
- GCP (Cloud Functions, Cloud Run, GKE, Compute Engine)
- Vast.ai
- Vercel
- Colab, Kaggle
DevOps, Automation, Server ⚙️
- Docker
- Kubernetes
- Ngrok, Nginx
- Linux
Web & API Development 🌐
- React.js
- Next.js
- Django
- Node.js
- Express.js
- Flask, FastAPI
Steps for completing your project
After purchasing the project, send requirements so Anthoneo can start the project.
Delivery time starts when Anthoneo receives requirements from you.
Anthoneo works on your project following the steps below.
Revisions may occur after the delivery date.
Layout proposal
Send sketch of layouts to client for feedback/confirmation. Typically done with PowerPoint or drawn.
Layout approved