Climate Lens is a cutting edge AI powered B2C platform with a huge potential, addressing a tremendously big real estate market. It is democratizing the access to climate hazard data in Europe with ambitions to become a world wide leader in climate risk intelligence with hyperlocal street level precision. It is exposing this data for real estate buyers and investors in human friendly reports, generated by the latest AI tools and gpt5. Our tool is focused on 5 climate data points and emphasizing on climate risks, related to them: Wildfire risk, Air pollution, Wind damage, Heat risk, Flood risk. Usually at least one of these factors would negatively affect a real estate property over time, with some causing severe damages if not mitigated on time. We work to include more data points to our platform and cover as much countries as possible. Thanks to the AI we are able to combine the climate risks with micro and macro economics for a real estate property's location, as well as recent news and events, to provide buyers and investors with a valuable advice and transparency, before they make they final step and buy a property.

Our project leverages a client-server model, using Flutter as the client-side application and Streamlit as the server-side platform. The Flutter app is responsible for collecting real-time network performance data such as latency, packet loss, bandwidth, and other key metrics directly from the user's device. This app serves as the interface for the end user, providing a simple and intuitive dashboard for monitoring their network health. On the other hand, Streamlit acts as the server-side component, where the collected data is sent for processing and analysis. Through Streamlit, we integrate AI algorithms to analyze network performance, detect potential issues, and provide actionable recommendations. The AI model helps to predict and troubleshoot network problems before they affect service quality. Streamlit also handles data visualization, presenting the results to the user in a clear and insightful way. This architecture is powerful because it separates the responsibilities of data collection and analysis, allowing for a flexible and scalable solution. Flutter ensures that the user has a seamless experience, while Streamlit handles complex computations and provides robust backend support, making the entire system efficient and easy to scale. By using Flutter and Streamlit together, we provide a complete solution that enhances connectivity management, specifically for public sector institutions such as schools and health centers in underserved regions.

Doctor_Assistant_and_Medical_Image_Analyst is an innovative virtual assistant designed specifically for healthcare professionals, particularly in rural areas with limited internet access. This project aims to enhance patient care by providing quick access to accurate, evidence-based medical information and treatment options, enabling doctors to make informed decisions even in challenging environments. By utilizing offline capabilities, the assistant allows healthcare providers to retrieve essential medical data and analyze images without relying on constant internet connectivity. This feature is crucial in remote settings, where timely access to information can significantly impact patient outcomes. Ultimately, the project seeks to empower doctors in underserved regions, ensuring they have the tools needed to deliver effective and safe care.

Captionize is a cutting-edge AI solution that automates the generation of video descriptions, empowering content creators on YouTube to enhance their productivity, expand their reach, and unlock new revenue opportunities. By harnessing the power of artificial intelligence, Captionize streamlines the creation of video descriptions, saving creators valuable time and providing them with a competitive edge in the digital landscape. YouTube content creators often struggle with crafting engaging video descriptions, limiting their ability to focus on quality content and channel growth. Manual creation is time-consuming and can result in inconsistent or subpar descriptions that hinder outreach efforts and reduce audience discovery. Leveraging advanced AI algorithms, Captionize automatically generates compelling video descriptions. By analyzing the transcript of the video, Captionize creates informative and engaging descriptions tailored to maximize SEO performance, ensuring higher search rankings, increased organic traffic, and improved visibility on YouTube. Captionize presents a compelling business opportunity for both the product and its users. By saving time and offering unique benefits, Captionize is poised to capture a significant market share, providing substantial profits and success to content creators in the growing industry. In conclusion, Captionize revolutionizes video descriptions for YouTube content creators, offering a time-saving, AI-driven solution that optimizes SEO, expands reach, and unlocks new revenue opportunities. With its unique features and benefits, Captionize is well-positioned to thrive in the content creation market, delivering significant profits and success for both the product and its users.

Have you ever wondered how your CV is received by HR consultants and recruiters? How much you actually fit the role of the job posting and what you can improve on? With career-aidvisor you can peek behind the scenes of the recruitment process. career-aidvisor creates an hypothetical scenario in which an HR consultant asks an IT recruiter for an evaluation of your resume/cv. Powered by Lancghain Chat model agents, they will talk about weaknesses, strengths, points of improvement, etc. Which you can you use to improve your profile and focus your effort in studying new technologies or developing the necessary skills to land your next job.

Deaf and hard-of-hearing individuals face a multitude of challenges in their daily lives, with one of the biggest being the difficulty in communicating with hearing individuals who do not understand sign language. This communication barrier can lead to social isolation, limited access to education and employment opportunities, and a lack of participation in various social activities. Our project aims to address this challenge by developing a real-time speech-to-sign language translation solution that can bridge the communication gap between the deaf and hard-of-hearing and the hearing individuals. This solution has the potential to enhance accessibility and inclusivity for the deaf and hard-of-hearing community and improve their quality of life.

Vi-chat is an innovative AI assistant aimed at helping mothers connect with their autistic children by converting their voice into images easily understood by autistic children as they are have difficulty processing spoken language but prefer pictures. we used openai model with their whisper and dall beta embedded to transform voice into images. this solution is never offered before to autistic children but it will help them communicate and boost their learning process. we plan to make this app go both ways from voice to image and from image to voice in near future and make it customized to every child and his preferences. We are very proud and honored to help autistic children and their mothers get connected together

This bot is capable of automation of interview stages in which respondent is to answer questions with firm correct and wrong responses. Bot will communicate with interview respondents via web-application.​ This application will be like chatbots used on sites to help students and other scholars write academic papers. Bot sends question to the candidate and a person input answer in the provided field.​ Afterwards, model estimates the quality of provided answer and bot informs respondent about it.​ Our model utilizes https://api.cohere.ai/classify endpoint.​ The set of questions available to choose from is in the database and predefined (for this version of project).​ The training sets of answers are also in the database with links to their respective questions.​ There must be at least some number (to be estimated) of answers per quality per question for the model to be well-trained.​

Text tab: use good writing feature to generate tone for characters' conversation. Because characters have different personalities, some seem formal when they speak, some seem casual... like that. Film makers write in their own tone. Then AI21 will adjust it, in order to make characters more real. Voice tab: use text to speech to create voice for characters, so that film makers don't have to hire voice actors/actresses?

🗓️ This will be a 7-day virtual hackathon from 13-20 January 💻 Access AI21 Labs' state-of-the-art language models to build innovative applications 🏆 Prizes and awards of up to $9000 API credits + $3500 cash 💡 Meet and learn from AI21 Labs and Lablab experts 👥 Join the community and find your team ✔️ All levels are welcome 📖 AI tutorials and mentors to help you ⭐ Receive a certificate of completion and Wordtune premium for submission 🐱‍💻 Sign up now! It’s free!

🗓️ This will be a 48-Hour Virtual Hackathon from 2 - 4 December 💻 Technology: You will build applications with generative AI supplied by Cohere ✔️ Level: All levels are welcome 😊 For whom?: Builders, creators & innovators! 💲 The Event is totally free! 🏆 $2000 cash prize pool!

🗓️ This 7-day virtual hackathon from January 27 to February 3 will be your time to shine! 💻 Construct AI apps with the latest LLM-powered technology from Cohere and try the newly released Multilingual Text Understanding model ✔️ There's no prerequisite level. Just starting out with AI? Or perhaps you're a veteran Data Scientist? A Designer? A Business Developer? We want you and your domain expertise! 🐱‍💻 Sign up now for free and let's get going!