Developed an AI-integrated solution that mimics human behavior in social media.
Dating apps, while popular, had users spending excessive hours daily, leading to notable frustration. Research from smalltalks.ai indicated that the average daily usage was a substantial 1.5 hours, with a staggering 70% of users experiencing anxiety post-use. To address this, I developed an application powered by the advanced GPT-4 artificial intelligence. This AI not only mimics human interaction but crafts initial messages based on individual profiles, engages in meaningful conversation, and establishes emotional connections using a meticulously curated pick-up database. Once a rapport is established, it proposes a real-life meeting and notifies the human user, thus streamlining the dating process while reducing user stress.
About expert
A AI Developer.
Grigorij applied their knowledge of Tech knowledge and Data analysis in AI on the following markets: Poland and The UK.
Grigorij built products like AI GPT-4 based application using the variety of tools such as tool Airtable, Make, Pinecone and GPT Playground.
Other cases by Grigorij
TinderGPT: An AI Dating Assistant
TinderGPT is designed as an AI assistant to streamline the dating experience, sparing users from the time-consuming and often uncertain process of messaging on dating apps. This AI handles everything on behalf of the user—from initiating conversations with messages tailored to the profile in question, crafting engaging interactions, to arranging dates and providing the user with the match’s contact information.
Crafted a Web App for cosmetics recommendations employing ML and AI technologies.
As CTO at PrimerAI, I developed an intelligent platform for personalized cosmetics suggestions using ML and AI, including OpenCV, GPT-4, and K-means clustering for skin tone detection and categorization. I employed a holistic approach in developing and implementing this web app, which analyzed users' skin tones using computer vision and unsupervised ML algorithms. My contributions covered all aspects of the project, including designing and building the frontend and backend of the web app, as well as administering Linux servers. This ensured a seamless, end-to-end product experience that catered to our users' needs.
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Enhancing Analytical Infrastructure and Reducing Fraudulent Activities
Led the shift of analytical infrastructure, enhancing data resources and decreasing update errors by 90%. Increased identifiable traffic sources from 60% to 95%. Played a crucial role in reducing fraudulent responses from 28% to 1-4% by strengthening moderation and creating a fraud analytics direction. Contributed to a project reducing the cost of applications from groups by 70% and reducing vacancies in central Moscow from 20% to 6%.
