Frida-Assistant

Dynamic web app

Tech Stack

This platform allows users to make their own cloud data bases, where they can store different kinds of sources that are then analyzed and stored. This way, users can semantically search for information and interact with a chatbot to find the most relevant data. In addition, we implemented a text to speech functionality to allow more people to use this technologies.

• FRIDA
• AWS Polly
• Google Cloud
• Supabase
• AzureAD
• React.js
• PostgreSQL
• Next.js
• NextAuth.js
• TypeScript
• Prisma
• Tailwind CSS
• tRPC
• Headless UI

Features

Some of the features included in this project are:

Authentication

Using Azure AD for user authentication.

Web and document scraping

Using python scripts and APIs to retrieve text from web links and documents.

Semantic search

Using embeddings to analyze texts and do a semantic search.

Context injection

Analyze large texts of information using vector and embedding technologies, also taking advantage of OpenAI chats.

Text to speech

Implemented AWS Polly to transform text into speech for more users to use the platform.

Some of the features implemented depend on Python services. These services are stored in this repo: Frida Assistant Services

Check it out

DevPost submission

Development Team

Name	Github	Email
Iván Romero	@IvanRomero03	[email protected]
Alejandra Coeto	@Ale-Coeto	[email protected]
Diego Hernández	@Diego-HC	[email protected]
Alexis Chapa	@Chapa-1810