forecastai.biz

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Image generation
Example Email Notification

Inspiration

Forecast AI is a stellar system which distributes crucial campus info to Hokies in an instant. This information can range from weather alerts, inclement weather, or emergency notices. We decided to take the weather aspect of this app and use AI to increase efficiency and scale it outside the university. Weather is recorded frequently leaving substantial data sets for many areas. This would allow an AI model to make meaningful predictions and suggest garments suitable for the given weather. All in all, we wanted to create a project that plays into the time saving nature of AI, while promoting safety among the general public.

What it does

A user can access this website to input personal data such as height and weight to identify vulnerabilities one may naturally have to certain weather. Contact info will be entered alongside leading to personalized real-time weather alerts to determine the best course of action.

How we built it

Our group of the best engineers and leaders gathered together at VTHacks 2024 and created something amazing! Utilizing JavaScript, Python, Heroku, Azure OpenAI, ChatGPT, Dall-E, FastAPI, Express.js, and others to deliver a fantastic app that is deployed for public testing.

Challenges we ran into

There was an incredible amount of challenges which included the time, data, resources, and computing. The cutting-edge AI tooling would have been expensive to build locally but luckily Microsoft Azure and Cloudforce assisted us in providing their generative artificial intelligence solutions to us.

Accomplishments that we're proud of

We were able to build a complete automation that incorporated not only predictive analytics with weather, but also image and text generation with cutting edge GPT technologies.

What we learned

Throughout this project, we gained valuable insights into integrating various technologies and managing complex systems. One key lesson was the importance of interdisciplinary collaboration, as combining different skill sets from AI and machine learning to web development and user experience design was essential for the project’s success. We also learned about scalability and performance, recognizing the critical role of cloud platforms like Azure in handling large data sets and maintaining efficiency. The experience underscored the importance of user-centric design, as tailoring predictions and alerts to individual needs proved to be central to the project's effectiveness. Additionally, managing resources efficiently and leveraging external support, such as that provided by Microsoft Azure and Cloudforce, highlighted the value of strategic planning.

What's next for forecastai.biz

Looking ahead, we plan to expand our data sources to enhance prediction accuracy and coverage across more regions. We aim to refine our algorithms to offer even more personalized recommendations by better understanding individual vulnerabilities. Gathering and incorporating user feedback will be crucial for improving the app’s interface and functionality. We also intend to explore partnerships and collaborations to extend the app's reach and impact. Furthermore, we are excited to develop advanced features, such as integrating wearable technology for real-time health monitoring and automated garment suggestions based on live weather conditions, to provide even greater value to our users.