OpenAI Stack Hack

Join us to find out how developers can interact with Redis, a real-time data platform with its blazing-fast vector database

Redis Talk

Paweł Czech and Mathias Asberg, co-founders of New Native will talk about lablab.ai's mission and vision. https://www.twitch.tv/lablabai

Start

We will shortly introduce you to the OpenAI Whisper, GPT3, Codex & DALL-E 2 Hackathon, Challenge, lablab.ai platform, Discord server.

Introduction to the Challenge

Short intro from lablab.ai's partner - Redis, the leading provider of enterprise-class solutions for vector search, data storage, and ML feature workloads

Redis Introduction

Startup lessons especially when it comes to actually applied NLP AI

Useful tips from lablab.ai developer Fabian

ChatGPT for developers/ how are for what to use

Whisper Tutorial for developers

Go-to-market strategy, basics of pricing, funding and valuation for AI startups

GPT-3 Live Coding Session

Under the hood: Building a QA app using Redis

Time's up! Submit your solution before the deadline

Excited to showcase our skills and collaborate on cutting-edge AI technologies at the hackathon.

Horros

Nguyen Chan

Hưng

huynhlong

Xuan Hieu

Managing finances can be challenging in today's world due to various factors such as economic downturns, inflation,and conflicts. Rising prices, particularly for energy, make it difficult for people to spend their money reasonably. With so many products, suppliers, and options to consider, it can be overwhelming for those with little experience in spending. To tackle these issues, our team has come up with the "Financial Advisor," a chatbot that helps users spend their money more efficiently and effectively.
Our solution is based on three main features: firstly, listing items to buy within a certain spending limit and marketplace, which is fine-tuned using GPT-3 to provide customized and optimized advice tailored to each user's requirements. Secondly, we help users plan their spending by allocating appropriate budgets for various needs such as food, entertainment, education, and commuting. Lastly, we remind users not to overspend on sale days to maintain their financial stability.
Our business model involves collecting user data to help them access products that are right for them while earning revenue from advertising. We plan to integrate our solution into banking apps to support users in managing monthly expenses, setting up savings funds, and getting monthly bank fees. We are building a new advertising system that benefits users the most by considering their financial optimization criteria and analyzing their needs. We also provide monthly spending transaction statistics to help users know where they stand financially and offer advice on their spending.
In summary, our Financial Advisor solution helps users make the most optimal and reasonable spending choices while staying within their budget. It saves time and effort in market research, enhances the user experience with a user-friendly interface, and provides a new advertising system that benefits users the most. Our solution revolutionizes the way people spend their money, improving their financial stability.

Financial Advisor helps the user to create a spending money plan

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