Skip to main content
2 min read14 weeks

Voice Assistant for Regional Indian Languages

HardBTech CSEMCAMTech CSEBE CSE+1 moreAI & Machine Learning
Share:
100% Free

Get Free Synopsis PDF

We will prepare a detailed synopsis for your college submission. Includes problem statement, objectives, DFD, ER diagram, and more.

A voice assistant that understands spoken queries in Hindi and other Indian languages, answers questions, sets reminders, and reads out information using speech recognition and text-to-speech models.

Problem Statement

Most voice assistants work best in English. Millions of users who are more comfortable in regional languages are underserved.

Objectives

1

Integrate multilingual speech-to-text models

2

Detect user intent from transcribed text

3

Generate spoken responses in the same language

4

Support common tasks such as weather, reminders, and FAQs

Modules

M1

Speech Recognition

Whisper or wav2vec based transcription for multiple Indian languages.

M2

Intent Engine

Classifies the query and extracts entities such as dates and places.

M3

Skill Handlers

Pluggable actions for weather, reminders, search, and general questions.

M4

Speech Synthesis

Text-to-speech output with selectable language and voice.

Expected Output

An assistant that listens to a spoken question in a regional language and replies with a spoken and written answer.

Future Scope

Offline mode on low-cost devices, code-mixed speech support, and integration with government service information.

Similar Project Ideas

Frequently Asked Questions

Click the "Get Free Synopsis PDF" button on this page. Fill in your details and we will send a detailed synopsis to your WhatsApp within 24 hours at no cost.
Yes, this project includes a detailed problem statement, objectives, and module breakdown that you can use for your college submission. The synopsis PDF we provide is formatted for academic submission.
This project uses: Hugging Face, PyTorch, Flask, Python. Basic knowledge of these technologies is recommended before starting.