Resume classifier. Streamlit app plus GitHub.
Type an order like a text, get an AI invoice, payment link and receipt.
Cross-institutional patient memory layer on Cognee. Hackathon.
25 small biology apps for day-to-day experiment planning, built in a couple of hours on GLM-5.3.
Just 6 classes later: I built my own ChatGPT-Chaigpt. 🚀 Grateful to @surajtwt_ for the guidance and to the #GenAI Cohort at ChaiCode for making this possible. Thanks @Hiteshdotcom @ChaiCodeHQ @piyushgarg_dev @nirudhuuu @devwithjay @yntpdotme Link-chai-gpt-alpha.vercel.app
I built a Resume Classifier. Here is the to check it out classr.streamlit.app Github Repo :github.com/vee234o/classr More info here :linkedin.com/posts/oreoluwa…
I just shipped Nado🎉 You type an order like texting a customer, get back an AI parsed invoice, a payment link, and an auto-generated receipt. I built this for the @apiconflagos X @monnify Developer Challenge #APIConfXMonnify #DeveloperChallenge 🔗: usenado.vercel.app
So I built something on the cognee cloud for the wemakedevs hacakthon continuum-sigma-three.vercel.app The healthcare system forgets. Continuum remembers A cross-institutional patient memory layer that turns fragmented medical records into one intelligent, timeline using Cognee's memory
During early access to GLM-5.3, I built this website with 25 separate small biology applications, each of which is quite useful for day-to-day planning and performing experiments. It only took a couple of hours and a few edits. That’s pretty remarkable! benchkit-sigma.vercel.app
