The Plant Assistant Application is an innovative and comprehensive gardening tool designed to cater to the needs of gardening enthusiasts, novice gardeners, homeowners with gardens and urban dwellers with limited space. This application is envisioned to revolutionize the way people engage with plants and the art of gardening. The primary objectives of this application are to provide a plant identification feature, implement a speech recognition system, integrate text-to-speech functionality and deploy an openAi’s GPT (Generative Pre-trained Transformer) to assist users. GPT models from OpenAI have undergone training to comprehend both natural language and code. These GPTs generate textual responses based on the input they receive. The results also suggest that Vertex AI is comprehensive machine learning platform, simplifying the end-to-end ML lifecycle. It offers tools for data preparation, model training, deployment, and monitoring, making it easier for businesses to develop and manage AI solutions at scale. In addition to these core features, the application also offers seasonal plant care guidance, a categorized plant database and a wealth of comprehensive plant information. The Plant Assistant's potential market includes gardening enthusiasts, beginners, homeowners with gardens and urban dwellers. This mobile application's innovative and creative features, such as its AI-driven plant identification tool, make it a powerful tool for plant lovers and aspiring gardeners. Its potential impact is far-reaching, as it empowers users to nurture and grow their green world with confidence and ease. The Plant Assistant Application can be easily downloaded for free from the Google Play Store. This app is dedicated to nurturing the interest of novice gardeners and strives to foster a love for gardening, all while providing essential support in plant care, ultimately ensuring a smooth and satisfying gardening journey.
| Item Type: | Article |
|---|---|
| Creators: | Creators Email / ID Num. Mat Yusoff, Siti Nursaadah sitinursaadahmatyusoff@gmail.com Fahmy Hazim, Muhammad Aqil Hilman muhdaqilhilman@gmail.com Mohd Azim, Daniel Eizzat danieleizzat3@gmail.com Muhamad Nazri, Muhammad Amirul Hakimi ahakimi655@gmail.com |
| Subjects: | Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software > Application software S Agriculture > SB Plant culture > Gardens and gardening |
| Divisions: | Universiti Teknologi MARA, Kelantan > Machang Campus > Faculty of Information Management |
| Journal or Publication Title: | APS Proceedings |
| ISSN: | 003428568-X |
| Volume: | 8 |
| Number: | 1 |
| Page Range: | pp. 207-219 |
| Keywords: | Artificial intelligence, Gardening, Mobile apps |
| Date: | 10 November 2023 |
| URI: | https://ir.uitm.edu.my/id/eprint/147618 |
147618.pdf
