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PragatiConnect

4 devlogs
12h 19m 49s

A project for the empowering the informal workforce in India, me and my team have been working on this togehter. The app will help small business/informal workers (like potters, maids, etc). The AI assistance will make sure they're getting fair pr…

A project for the empowering the informal workforce in India, me and my team have been working on this togehter. The app will help small business/informal workers (like potters, maids, etc). The AI assistance will make sure they’re getting fair prices and help them strategize their business decisions. It will support many local Indian languages as well as English to help every part of the country. It’s a really meaningful project. We have 7 days to submit a prototype and that’s what we are working on.

This project uses AI

Using AI to integrate all the 3rd party serivces such as Amazon Bedrock and Google Cloud Text-to-Speech and Speech-to-text.

Demo Repository

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shreeyans.vichare

Implemented a web calling interface. So if maybe someone doesn’t want to download the andriod app, they can use the voice calling interface. Turns out its really hard to do public iOS testing unless you have a paid Apple Developer account. So now the product consists of 2 services, the mobile app and the calling simulator. It would’ve been cool if I could rent a toll free number and connect it there but that’s fine for now. Finally everything that was planned to be implmented has been completed. Really feel good about what the PragatiConnect Product has come to be!!!!

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shreeyans.vichare

Trying to get the price estimator to work so people can upload images of their craft and get a fair price for it. It’s not been processing quite properly yet, but at least the user can add any image and send it to the backend, where the AI should analyse it. Also got the email authentication working, through the SMTP library so it sends and validates OTPs.

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shreeyans.vichare

Added support for a few more Indian languages (Gujarati and Punjabi). The backend is a lot to configure, but testing has been relatively smooth. The folder and all the files are very messy and hard to keep track of. The text-to-speech and speech-to-text keeps breaking often, trying to work on that with the Google API’s. The voice assistant would lose context everytime a new message was being sent, now the memory persists until either the language is chosen or the voice assistant session is closed.

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shreeyans.vichare

Worked on the iOS and Andriod application. We have a lot of features to implement, currently working on one thing at a time. The frontend UI looks good, the backend AWS and Google Cloud part is a little tricky to deploy. Regardless we’re moving forward!!

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