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2 years of experience
I've been working with tech for a while now! I've made websites, built apps for Android, and played around with AI using Python and Tkinter. I also know my way around servers—I've set them up and managed hosting. I enjoy solving problems and trying new things in the world of tech!
Open-Sourcerer is a powerful tool designed to assist developers in discovering and integrating open-source projects. It's a bridge between your local development environment and the vast world of open-source projects on GitHub. Open-Sourcerer is also integrated with Open-Interpreter and Discord, providing a seamless and interactive experience. How it works: 1. Discovery Phase: Open-Sourcerer scours GitHub, based on your specified criteria, to find repositories that align with your project needs. 2. Integration and Assistance Phase: Once you've selected the repositories you're interested in, Open-Sourcerer aids in integrating them into your codebase. It can generate code snippets and provide guidance to ensure a smooth integration process. 1. Prerequisites: Ensure you have Python installed on your local machine. You'll also need a Discord account. Join the Agora Discord server using this link: https://discord.gg/ytQyYwKrxQ
Personalized AI chatbot is able to give answer for the following: Answering Frequently Asked Questions (FAQs): It can provide information on a predefined set of topics. This is useful for handling common queries without human intervention. Language Translation: This chatbot have the capability to translate messages between languages, facilitating communication between users who speak different languages. Learning and Improvement: While not as advanced as more sophisticated AI models, it can learn from interactions and improve their performance over time. Integration with External Systems: can be integrated with other software systems, databases, or APIs to fetch real-time information or perform actions on behalf of the user.
Doctors spend a significant amount of time reading doctors' notes as part of their workflow. A study published in the Journal of General Internal Medicine in 2016 found that primary care physicians spent an average of 18.4 minutes per patient encounter reading and writing electronic health record notes. This includes reviewing previous notes, writing new notes, and reviewing test results. To mitigate this problem, we developed an AI assistant that can answer questions from doctors’ notes. Questions may be related to patient history, follow-ups, medication adjustments, treatment, diagnosis, procedures, and other categories.