Welcome to MItra

MItra is an AI-powered, multilingual, voice-enabled, open-source capability designed to listen at scale, capture community discussions and micro-improvement stories, and gather feedback or perceptions.

MItra works in local languages and dialects, requires no literacy or prior digital experience, and is built as a lightweight progressive web application that works without high-speed internet.

Overview

This microsite contains detailed documentation that helps organizations understand how MItra transforms raw, unstructured narratives into usable reports, dashboards, and insights.

Introduction

Across India, school leaders, community members, women leaders, and youth regularly encounter challenges that emerge in their schools and communities. These challenges range from improving education outcomes and addressing social issues to supporting livelihoods, leadership development, and community well-being.

In many regions, women began organizing chaupals and chavadis—community gatherings where they shared their experiences, challenges, aspirations, and personal journeys of growth. Similarly, parents actively participated in parent-teacher meetings, offering valuable feedback and perceptions about their children's education, concerns about their future, and ideas for improving schools.

However, while these conversations and success stories may create meaningful impact locally, many of them remain unheard beyond their immediate surroundings. There was no systematic way to capture, organize, analyze, or share the knowledge generated through these discussions.

Most technologies require the users to be literate, digitally fluent, and comfortable in English or a dominant language. Technology is gradually changing so that people with low literacy, poor connectivity, and little exposure to digital tools can use it more easily. However, these tools are out of reach for the majority of the people.

MItra addresses this gap by capturing improvement stories, community voices, feedback, or perceptions that emerged from the meetings or discussions, impact assessments, and visible results, ensuring that these important efforts are properly documented and shared. MItra processes unstructured voice inputs, identifies and separates challenges from solutions, and prompts users to provide additional information where needed. It creates summaries that are accurate, contextual, and meaningful.

MItra is used by health workers, farmers, women, youth, and local community members to capture voices from the ground, recording real stories, everyday challenges, and the micro-improvement actions taken to address them. This ensures that grassroots perspectives are not lost but captured as authentic stories of change that others can see, learn from, and build upon.

Use Cases

Features	Description
Discussion capture	Voice-enabled bots document and structure community meetings and chaupals, and chavadis, capturing challenges, solutions, and action points from group conversations in real time, in any language.
Story capture	Bots guide community members through sharing stories of change, lived experiences, and grassroots improvement efforts, turning personal narratives into structured, shareable knowledge.
Evaluation studies	Structured bots conduct assessments, baseline and endline studies, validations, and programme evaluations, replacing expensive, logistics-heavy survey processes with lightweight, voice-first alternatives.
Perception or feedback capture	Conversational bots surface what different people think, feel, and believe about their schools, their communities, and their children's futures. A parent shares what enables or blocks their child's education. A community member shares what future readiness or inclusion means to them. MItra captures these perspectives at scale, bringing visibility to what communities truly think, value, and need.