This paper presents the development of a novel plant communication application that allows plants to "talk" to humans using real-time sensor data and AI-powered language models. Utilizing soil sensors that track moisture, temperature, and nutrient levels, the system feeds this data into the Gemini API, where it is processed and transformed into natural language insights about the plant's health and "mood." Developed using Flutter, Firebase, and ThingSpeak, the app offers a seamless user experience with real-time interaction capabilities. By fostering human-plant connectivity, this system enhances plant care practices, promotes sustainability, and introduces innovative applications for AI and IoT technologies in both personal and agricultural contexts. The paper explores the technical architecture, system integration, and broader implications of AI-driven plant communication.

In recent years, the global and Indian government efforts in monitoring and collecting data related to the fisheries industry have witnessed significant advancements. Despite this wealth of data, there exists an untapped potential for leveraging artificial intelligence based technological systems to benefit Indian fishermen in coastal areas. To fill this void in the Indian technology ecosystem, the authors introduce Jal Anveshak. This is an application framework written in Dart and Flutter that uses a Llama 2 based Large Language Model fine-tuned on pre-processed and augmented government data related to fishing yield and availability. Its main purpose is to help Indian fishermen safely get the maximum yield of fish from coastal areas and to resolve their fishing related queries in multilingual and multimodal ways.

This study introduces a novel multiagent ensemble method powered by LLMs to address a key challenge in ML - data labeling, particularly in large-scale EHR datasets. Manual labeling of such datasets requires domain expertise and is labor-intensive, time-consuming, expensive, and error-prone. To overcome this bottleneck, we developed an ensemble LLMs method and demonstrated its effectiveness in two real-world tasks: (1) labeling a large-scale unlabeled ECG dataset in MIMIC-IV; (2) identifying social determinants of health (SDOH) from the clinical notes of EHR. Trading off benefits and cost, we selected a pool of diverse open source LLMs with satisfactory performance. We treat each LLM's prediction as a vote and apply a mechanism of majority voting with minimal winning threshold for ensemble. We implemented an ensemble LLMs application for EHR data labeling tasks. By using the ensemble LLMs and natural language processing, we labeled MIMIC-IV ECG dataset of 623,566 ECG reports with an estimated accuracy of 98.2%. We applied the ensemble LLMs method to identify SDOH from social history sections of 1,405 EHR clinical notes, also achieving competitive performance. Our experiments show that the ensemble LLMs can outperform individual LLM even the best commercial one, and the method reduces hallucination errors. From the research, we found that (1) the ensemble LLMs method significantly reduces the time and effort required for labeling large-scale EHR data, automating the process with high accuracy and quality; (2) the method generalizes well to other text data labeling tasks, as shown by its application to SDOH identification; (3) the ensemble of a group of diverse LLMs can outperform or match the performance of the best individual LLM; and (4) the ensemble method substantially reduces hallucination errors. This approach provides a scalable and efficient solution to data-labeling challenges.

Flutter Google cross-platform UI framework has released a new version 1.20 stable. Flutter is Google's UI framework to make apps for Android, iOS, Web, Windows, Mac, Linux, and Fuchsia OS. Since the last 2 years, the flutter Framework has already achieved popularity among mobile developers to develop Android and iOS apps. In the last few releases, Flutter also added the support of making web applications and desktop applications. Last month they introduced the support of the Linux desktop app that can be distributed through Canonical Snap Store(Snapcraft), this enables the developers to publish there Linux desktop app for their users and publish on Snap Store.

Hey, party people, it's Kyle, continuing to step in for Greg to write Week in Review as he spends time with his newborn. Dunno about y'all, but it's been a week. But because the news never sleeps, I'm rallying with the help of a fourth cup of coffee. I've talked your ears off about it at this point, but I'm under contractual obligation (not really, but still) to mention TechCrunch's upcoming Early Stage 2023 event in Boston on April 20. The one-day summit on startups will include advice and takeaways from top experts, plus opportunities to meet fellow founders and share your own entrepreneurial experiences.

In today's newsletter, we'll cover a range of topics. You will learn about Free Data science books, ChatGPT, Big Data industry predictions, Flutter, writing Python code, AiOps plarforms, Top 100 Ai companies, DAM trends Choosing BI solution, Flutter, ML Algorithms cheat sheets, Python tips & tricks, DAM, Free NoSQL databases and usefull tools. We hope you enjoy it! Here are the top free Data Science Books for students and people must add to their list in 2023 in order to improve data science skills and to get data science jobs. ChatGPT and GPT-3 are both large language models trained by OpenAI, but they have some key differences.

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DR Scanner mobile app was developed with Flutter. In terms of code structure, it was written with the principle of clean code.The interface is simple and very easy to edit. It can be run on both Android and iOS platforms. It has an application structure that can be installed on Google Play Store, App Store and Huawei App Gallery platforms. It can be easily run offline as there are no options such as database and remote connection. Developed with a modern, simple user-friendly interface using the advantages of Flutter, DRScanner makes it easier for you to detect Diabetic Retinopathy.

This book will challenge you to learn and understand the most obscure and tricky parts of Javascript.

Nowadays a lot of applications are building with the help of a flutter platform. It is an open-source software development kit. Flutter was developed by Google and released at the end of 2018. Flutter is a flexible and cross-platform software development kit used by application developers to develop applications for modern platforms like Android, Mac, Linux, iOS, Windows, and Google Fuchsia. Most machine learning development company is offering rich enchanting features that make most business ventures work more profound and smoother.