Inspiration
When we heard about the topic, we tried to come up with the definition of reaching new heights. We thought that this saying can be attributed not only to people, but also to companies that can reach new heights, by investing in their workforce. That is why we came up with this idea, to simplify the process of managing employees.
What it does
Promotion Altitude Risk Engine helps leadership teams make defensible promotion decisions by combining deterministic risk scoring, benchmark comparisons, and AI-generated executive narratives. It supports both pre-promotion scenario simulation and ongoing workforce performance monitoring based on daily employee activity logs.
How we built it
We built it by using open source databased such as O*NET, plasma, docker, codex, chatgpt, and hugging face AI integration. We have engineered the prompts for this solution, and have carefully monitored the process. We started by coming up with the plan, and building a simple landing page, with basic features indicating different scenarious of employees. Later on, we had built upon the code to add multiple pages, and connect it to AI, and databases to store the inputs of information.
Challenges we ran into
The main challenge was to keep the project working, while keeping our website free.
Accomplishments that we're proud of
We have been doing deep research, and we are proud we finished the project, and it is fully working!
What we learned
We have discovered how to integrate AI into our project, and how to connect the data and inputs into databases. On top of that, we have discovered the work of codex and other useful sources.
What's next for Promotion Altitude Risk Engine
We have kept it simple due to time constraints, but it has a huge upscale potential by adding new databases and using them as benchmarks towards the performance analysis. If we can secure funds to operate within open AI API key, and AI responses and recommendations will be much better and much more accurate. Additionally, the math of the project would be worked upon to rely more on scientifically backed data and research., as well as adding additional functions, that make the website appealing to upper management. Data bases will include the job metrics of known companies, potentially adding thousands of them into our project. Additionally, a company may fill out its information, giving us more accurate view on how we should evaluate its employees - at the end of the day, the software engineer from Apple has different requirement for promotion than software engineer at a small scale company.
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