Research Publications

Permanent URI for this communityhttps://rda.sliit.lk/handle/123456789/4194

This main community comprises five sub-communities, each representing the academic contribution made by SLIIT-affiliated personnel.

Browse

Filters

2016 - 201912020 - 20251

Advanced Search

Filter by

Settings

Subject: search.filters.subject.predictive analytics

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    PublicationOpen Access
    Developing AI-Powered Android Application about Self-financial Management for Individuals “FinGuard”
    (SLIIT City UNI, 2025-07-08) Samarakoon, S.M.A; Nallaperuma, N.A.P
    In this paper the author presented the development of “FinGuard” an artificial intelligence powered android application intended to aid individuals in effectively managing their finances. The application addresses common money issues like executive daily expenditures, lack of income, and financial ignorance. They lead to individuals taking loans, pawning items or borrowing money actions that compromise long-term financial stability. FinGuard offers income and expense tracking services, automated report generation, monthly predictive analysis, customizable reminder feature, advice for financial management feature and a chatbot for get answers for user problems inside the application. The user credentials are shielded from unauthorized use through secure login functionality. FinGuard applies a full and smart process to improve personal financial wellness and promote good financial management habits.
  • Thumbnail Image
    PublicationEmbargo
    A case study of Sri Lanka oil price fluctuations and its influencing factors using predictive analytics
    (IEEE, 2016-12-19) Kandawala, D. S. A; Ramanayake, R. T; Bogahawatte, K. G. L; Mansoor, M. A. M; Wanniarachchi, D. M; Asanka, P. P. G. D
    Oil is one of the most crucial commodity and energy resource that guarantee the evolution of the economy and industry of a country. The price fluctuation of the oil would be the emerging factor to be concerned and discussed generally in political and economic circle in each and every country. In Sri Lanka also the problem would be same when it comes to oil industry and its influencing factors for price fluctuation. This paper provides a comprehensive implementation of data warehousing process for the petroleum industry data set. Based on the data collection, a broad data analysis has been conducted to discover patterns of oil prices and sales variation with respect to the political and economic impact factors of Sri Lanka. Through the analysis, it has proven that the influencing factors would affect to the oil prices and sales accordingly. Furthermore, this aims to present few predictions based on the analysis.