AI-SteerEDU

Created by team TeaCoders on September 15, 2023

AI-SteerEDU aims to revolution the world of online Platforms by giving the opportunity to give feedbacks from the individuals. The learners can also ask question in different languages to get responses in same Language. Suppose he gives feedback in French then the response will also be in French. Llama 2 gives us the opportunity to train Custom datasets on their own models to get specified results. Our main aim to collect feedbacks from students for online learning coaching platforms and refer other students the same courses according to their interests. Online learning platforms are used by millions of students worldwide, but finding the right courses and materials can be overwhelming. Our challenge is to create a personalized recommendation system that helps learners discover relevant courses and resources effectively.

Category tags:

Career Development, Productivity, Web Application

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Imagine a world where potatoes are more than just a starchy delight on your plate; they're the AI that replaces software engineers. Just like a potato's versatility in the culinary world, AI in software development can handle a myriad of tasks. These AI spuds can code, debug, and optimize software, making them indispensable in the tech industry. Much like a seasoned manager, they can oversee teams of virtual engineers, ensuring projects run smoothly. They adapt to different programming languages like a potato taking on various cooking styles. Whether you need a machine learning algorithm or a web application, these AI potatoes have got you covered. So, in this futuristic tech kitchen, the humble potato has transformed into a digital master chef, satisfying our software development cravings.

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Neurolitiks Politics with Multi-AI Integration

NeuroLitiks is more than a digital tool; it's the future of political innovation. In today's world, city administrators are buried under immense data, desperately trying to identify the best path forward amidst a cloud of uncertainty. Enter Neurolitiks. Powered by state-of-the-art technologies like Expert.ia, OpenAI, Lang Chain, and Neo4j databases, our platform now integrates multiple machine learning models, including Llama 2 and Falcon, offering unparalleled analytics and insights. This fusion of technologies empowers us to discern vital information that might otherwise remain hidden or overwhelming. The rationale behind harnessing multiple AI systems? City management and policy-making are intricate, with countless interwoven threads. A singular analytical approach can't grasp this vastness. But our multi-AI setup, featuring Llama 2 and Falcon, can, facilitating a comprehensive, rounded understanding of city issues, allowing for pinpoint historical accuracy, real-time adaptability, and visionary future predictions. Initially targeting the health and education sectors in urban hubs—a $1.8 million slice of a more expansive $100 million market—Neurolitiks is not merely another digital system. It's a catalyst for monumental urban evolution. Our blend of superior databases and diverse AI models can process and decode complexity like no other, bestowing city leaders with the power to make data-driven, transformative decisions. Our mission goes beyond mere data interpretation; we aim to impart wisdom, transforming raw data into tangible strategies that can reshape city landscapes and improve the lives of their residents.

Hadox Human Networks

OpenAIClarifaiLlama 2LangChainFalcon
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everdiver

Evernote is used by 250 million people worldwide to collect ideas, document meetings, and much more. It runs as a local application or in the cloud and has preceded comparable applications by the big tech companies. Once the note collection has grown over the years, it can become cumbersome to keep an overview and refer to past notes. Large language models offer help to improve search functions and build knowledge from old notes. With the dawn of open-source large language models such as Falcon by the Technology Innovation Institute, new possibilities have been opened. Since these models can be run on less powerful customer hardware, private Evernote data can now be processed, preserving privacy.

Fritzlabs

ClarifaiLangChainFalcon