dost-com

Text Sentiment Analysis Chat Application - for DA225o Deep Learning Course at IISc

Application URL - DostCom

Project Overview

Today's chat applications are built around the same building blocks used when they were emerging -- one-on-one chats, groups, multiple modalities (text, audio, video, emojis, etc.), and any new chat application has pretty much the same functionality.

On the other hand, more and more people are communicating over text than any other form of communication. But text has one problem - the tone (or body) of the conversation is not always apparent, and may require further clarification or eventually lead to misunderstandings while communicating. This happens so often that multiple modalities are then equipped in order to clarify, elaborate or communicate the same sentiment.

We have built an application to enhance our texting experience, and add another dimension to communicating through this medium. We call it dost-com, a chat application that does the following:

1. Understand the ongoing conversation in a text session in real-time
2. Provide live analysis on the sentiment of the conversation or recent text
3. Based on the sentiment understanding and context of the conversation, provide suggestions/prompts to the user to respond appropriately, or tailor it with a baseline

Project Details

Potential Dataset - Kaggle Data Set

Task Distribution

• Web GUI: Ishwer
• Back-end: Shubham
• Data Preparation: Manish, Shubham
• Transformer: Deepshikhar, Rishabh
• Sentiment Analytics: Deepshikhar
• NLP: Shubham
• LLM API: Rishabh, Sanket
• LLM Evaluation: Ishwer
• Database: Yuvasree
• Project Report: Sanket + ALL

Information for Reference

Web-UI API Payload Format

{
  "chatId": "general",
      "messages": [
          {
              "id": "51d179c4-1092-42e8-aed9-4cbb581a3106",
              "content": "Hi",
              "user": {
                  "name": "god"
              },
              "createdAt": "2025-06-14T12:17:35.825Z"
          }
      ],
      "timestamp": "2025-06-14T12:17:36.842Z"
}

RAG Vector Input Format

{
    "id": "353fc390-3afe-49a4-a88a-64a32aed0c85",
    "content": "What's going on?",
    "user": {
        "name": "test"
    },
    "sentiment": "joy",
    "createdAt": "2025-06-07T11:29:07.095Z"
}

Sentiment Analytics Format Expectation

{
  "chatId": "general",
  "messages": [
    {
      "id": "353fc390-3afe-49a4-a88a-64a32aed0c85",
      "content": "What's going on?",
      "user": {
        "name": "test"
      },
      "sentiment": <Emotion>,
      "createdAt": "2025-06-07T11:29:07.095Z"
    }
  ],
  "timestamp": "2025-06-07T11:29:18.624Z"
}

Vercel Web-UI

Prototype-1 of Web GUI

Open in v0

Automatically synced with your v0.dev deployments

Overview

This repository will stay in sync with your deployed chats on v0.dev. Any changes you make to your deployed app will be automatically pushed to this repository from v0.dev.

Deployment

Your project is live at:

https://vercel.com/robogods-projects/v0-open-in-v0-im

Build your app

Continue building your app on:

https://v0.dev/chat/projects/eywN2GNRyVq

How It Works

1. Create and modify your project using v0.dev
2. Deploy your chats from the v0 interface
3. Changes are automatically pushed to this repository
4. Vercel deploys the latest version from this repository