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I will turn your research novelty into a python web or mobile mvp
Ipung Purwono
About this gig
Are you a Masters student, PhD candidate, researcher, or R&D team with an AI research idea that needs a working implementation?
I will turn your research concept or novelty into an executable AI model using Python. The model can be delivered in Google Colab, Kaggle Notebook, or Jupyter Notebook and may include data preprocessing, training, evaluation, visualization, inference, and exportable experimental outputs.
For advanced packages, I can integrate the model into a functional web or mobile application with data input, prediction, dashboards, databases, APIs, experiment logging, and CSV, Excel, or PDF export.
You will receive customized source code, execution instructions, basic documentation, and a reproducible workflow aligned with the agreed research method.
This service supports machine learning, deep learning, computer vision, forecasting, classification, segmentation, and related quantitative studies.
I do not fabricate data, guarantee model performance, write academic papers, or deliver production-scale commercial software unless agreed through a custom offer. Please contact me before ordering to confirm the dataset, method, platform, and scope.
Get to know Ipung Purwono
Ipung Purwono
Informatics Lecturer and Researcher
- FromIndonesia
- Member sinceJun 2026
Languages
English, Indonesian
I help researchers, lecturers, graduate students, and R&D teams turn computer science and AI ideas into reproducible analyses, validated models, and functional web or mobile prototypes. My expertise includes Python, machine learning, deep learning, computer vision, data visualization, APIs, dashboards, and rapid AI-assisted development. As an informatics lecturer and Scopus-indexed journal reviewer, I also support novelty mapping, gap analysis, quantitative research design, experiment planning, and journal-fit screening. All deliverables are ethical, documented, and reproducible.
My Portfolio
FAQ
What will I receive when I order this service?
You will receive the agreed AI model implementation, Python source code, executable notebook, experiment workflow, evaluation outputs, basic documentation, and execution instructions. Web or mobile application integration depends on the selected package.
Where can the AI model code be executed?
The model can be prepared for Google Colab, Kaggle Notebook, or Jupyter Notebook. Please specify your preferred platform before the project begins
Can you implement my research novelty?
Yes, provided that the novelty can be translated into clear algorithms, model components, experimental procedures, or software requirements. I will assess its technical feasibility before you place an order.
Do I need to provide a dataset?
You should provide the dataset when your research uses institutional, clinical, survey, proprietary, or privately collected data. I can help identify a suitable public dataset when available, but its licensing and suitability must be verified.
Can you develop machine learning and deep learning models?
Yes. I can develop models for classification, regression, forecasting, clustering, computer vision, segmentation, and related quantitative research tasks. Complex or GPU-intensive models may require a custom offer.
Will the notebook include model evaluation?
Yes. The notebook may include preprocessing, model training, validation, testing, performance metrics, visualizations, prediction examples, and result export according to the selected package and agreed methodology.
Can the AI model be integrated into a website?
Yes. The Standard and Premium packages may include integration into a web application using technologies such as Streamlit, Flask, FastAPI, Django, React, or other suitable frameworks.
Can the AI model be integrated into a mobile application?
Yes. Mobile application integration is available in the Premium package or through a custom offer. The mobile application may use Flutter with a Python API or another agreed architecture.
Will the application generate research data?
The system can process research inputs, execute experiments, record predictions, calculate metrics, store logs, and export experimental outputs. It will not fabricate observations or create false research evidence.
Will I receive the source code?
Yes. You will receive the source code developed within the agreed scope. Paid APIs, proprietary libraries, external services, hosting, domains, and third-party licenses are not included unless explicitly stated.
