Browse applications built on GAN technology. Explore PoC and MVP applications created by our community and discover innovative use cases for GAN technology.
Navigating traditional bank websites can be an exasperating experience due to their complex menu structures. The Personalized Financial Advice Chatbot (PFAC) is designed to revolutionize this by using advanced natural language processing and machine learning. PFAC interprets user intents and preferences, streamlining information retrieval and enhancing the user experience. Instead of getting lost in the maze of menus, users can simply ask PFAC for account balances, loan advice, or any financial queries in plain language. PFAC aims to make online banking more user-centric, providing a stress-free, straightforward way to manage finances. This project delves into technical details, benefits, and the potential to transform online financial advice.
Similar to an App Store, the Assistant Store is a platform that allows you to buy Assistants crafted with realistic voices and descriptions done by other users in the Assistant Factory. It will be a market of Assistants. The idea will be that some users could build their own voices and descriptions and sell them to other users. If there are famous actors or movie characters willing to lend their voices and descriptions, it will be very interesting for people to be able to talk to people they admire or movie characters that they love. The platform could take a percentage of the revenue generated by the users who crafted the Assistants when they sell their Assistants to the users.
Finding top applicants is a time consuming, rigorous process that involves juxtaposing many resumes for comparison. This process is messy and may overlook qualified candidates in favor of time. TAS is the ultimate time-saving intelligent tool that allows recruiters to select their top candidates to interview. Instead of reviewing each submission one-by-one, a list of resumes is uploaded to TAS and analyzed. All resume data is parsed via OCR to allow recruiters to input both text and image-based PDFs. The recruiter then specifies an assessment question ("Which of these candidates for Finance Manager has experience in the Aviation industry?") to which GPT-3's assessment of that criteria will be provided back to the recruiter.