Update README

Signed-off-by: Andreia Ocanoaia <andreia.ocanoaia@gmail.com>

README.md

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-# fuse
+# FUSE - Full Stack Software Engine
+
+<div align="center">
+<h2>AI-driven platform that generates working web applications</h2>
+<h3> <u><a href="https://fuse.app.genez.io"> FUSE Demo - Try it out yourself! </a></u> </h3>
+</div>
+
+<div align="center">
+
+[![build](https://github.com/genez-io/fuse/actions/workflows/deploy-to-ec2.yml/badge.svg)](https://github.com/Genez-io/fuse/actions/workflows/deploy-to-ec2.yml)
+
+</div>
+
+FUSE is an AI-driven platform that generates out-of-the-box, live web applications from a simple description of the desired functionality. The platform is designed to help developers write and deploy code faster by describing the application in natural language.
+
+Using LanceDB OSS, `langchain` and OpenAI API, the platform generates a working web application.
+Further, the web application is is deployed using a single command to the cloud with `genezio`.
+
+## FUSE Demo - Try it out
+
+FUSE is live and deploy to the cloud. You can try it out [here](https://fuse.genez.io).
+
+## Technology Stack
+
+FUSE is built using TypeScript and React.
+### LanceDB OSS
+
+[LanceDB](https://lancedb.com) is a lightweight, vector database focused on handling LLM embeddings.
+The great advantage of LanceDB is that it can enhance the LLM experience with custom data from the user.
+
+### LangChain
+[Langchain](https://python.langchain.com/docs/get_started/introduction.html#use-cases) is a framework for developing applications powered by language models.
+
+### Genezio
+
+[genezio](https://github.com/Genez-io/genezio) is a platform for developers that help them write and deploy serverless applications.
+
+The developers are writing their backend logic in classes and deploy them to genezio serverless infrastructure. An SDK is auto-generated for them to be imported in the frontend part of the application. The SDK is used to call the backend logic in a very natural way.
+
+With a single command `genezio deploy` both the backend and the frontend are deployed to the cloud making the application available for all the end-users.
+
+
+### OpenAI API
+
+The [OpenAI API](https://platform.openai.com/docs/introduction) can be used to programmatically interact with the GPT LLMs. FUSE uses the GPT-4 model because it yields the best results.