Browsing by Author "Kuruppu, T.A."

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Auto Training an AI for Detecting Plant Disease Using Twitter Data Annexed With a Plant Anthology
(2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Vasanthan, N.; Shimran, Mohamed; Ahkam, A.; Ishak, I.; Silva, C.; Kuruppu, T.A.
Agricultural productivity plays a vital role in contributing to a nation’s economy. Farmers nowadays are concerned due to disease persistence in crops and plants, and it also affects the economy indirectly, so it is important to come up with a solution to detect plant diseases and educate the farmers about the solutions to retaliate against the diseases. Proper care is mandatory to safeguard the quality of plants. The existing traditional methods consume a massive amount of time and resources hence, it’s costly. Due to the importance of continuous monitoring, it seems impractical for a farmer to implement the traditional methods on large scale. The Traditional systems which are used lack the ability to identify diseases out of their predefined scope. As a solution, we came up with an autolearning system that identifies new plant diseases and provides remedies. This paper showcases the image processing techniques to detect plant diseases, Auto ML techniques to create new models for plants and corresponding diseases, Diseases are identified using image processing, Remedies are extracted for the given plant diseases using unstructured data from web data crawling. The business intelligence model uses NLP to provide ideas about the trending plants and plantrelated diseases are also discussed in this paper.
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Automated Sinhala News Platform Based on Machine Learning and Deep Learning
(2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Malsha, N.P.G.A.; Heshani, K.D.; Ransara, R.K.; Kumari, P.k.S.; Kuruppu, T.A.
Over the years, newspapers are taken as a major activity in citizens. Due to digitalization, online newspapers get famed, and eventually, it seems to be an ideal adaptation for their busy lifestyle. While there are several Sinhala News platforms, nonetheless, provide an advance and better user experience similar to English news platforms like google news. To fill this gap the proposed news platform, dispense personalized news recommendation based on user behaviors and user emotions. To replace the manual news categorization, the proposed system is armed with automatic news categorization. An automatically unnecessary comment removing feature was also added to the proposed system as an extra feature. The system implementation is based on deep learning, machine learning, NLP, sentimental analysis, and image processing techniques where it can provide a better user experience and a new experience.
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Remote Treatment Management Approach to Rural Healthcare in Sri Lanka
(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Shashishka, P.W.T.; Madhusankar, M.S.; Perera, M.T.K.; Gnanasena, A.M.J.C.; Kuruppu, T.A.; Kahandawaarachchi, K.A.D.C.P.
With the complications of society, people tend to ignore their medical status and focus on other priorities. Majorly due to lack of time to consult medical help, also in a pandemic situation like Corona Virus people have tended to detour their health issues. Patients lack options to contact their medical consultant without being physically present. “Remote Treatment” is designed to address this issue. App offers video conferencing between the patient and the medical consultant. Patients can choose the quality of the stream depending on the internet connection's capability, implemented utilizing WebRTC. Additionally, Remote Treatment provides patient data management and prescription handling along with improved security. Medical consultants has access to patient's previous and current reports also detailed graphs on their progress, implemented by utilizing Fusion charts, prescription handling has digitalized the prescription process hence patients wouldn't have the risk of acquiring inaccurate medicines. prescription handling is based on voice recognition built on using sphinx package In a telemedicine feature information security is utmost importance since these information violations could result in devastating situations. Information is secured with the aid of blockchain technology to provide maximum security. Remote Treatment allows patients to access medical help quickly with optimized condition.