Aimed at Indian farmers and Extension Agents, this copilot uses a collection of documents and transcripts of 100s of videos representing best practices from the Indian Ministry of Agriculture and Digital Green's video transcripts & FAQs to answer common questions from Indian farmers. We load these documents + transcripts into a vector database and with each question, we search the DB and add the results to create an answer to the farmer's questions. Additionally, the copilot features WhatsApp follow-up and location buttons plus agentic web search to get local weather and prices. It also leverages ISDA's Africa soil API to look up soil information based on the user's location.

More info and technical walkthroughs can be found here

This bot is designed to ask to help students fill out scholarship applications from their school records and identity documents. It asks for their ID documents, schoolmarks and then visually understands the data inside in them and then builds to build a profile of the user. It's a great example of using GPT4-Turbo in conjunction with advanced OCR to recognize text (which GPTV doesn't do well), combined with audio speech recognition in a WhatsApp bot using 11labs

A bot to designed for rural Indian banking executives, this can answer any question from a financial literacy guide

Fireside chat facilitates reactions to PeoplePlus.AI and Nandan Nilekani Ai Summit on May 7 in Bangalore, India. This bot highlights our new Copilot Summary view, allowing copilot authors to aggregate and chart analysis of conversations. This bot runs analysis of every interaction using this script that's then consumed by a summarization script to summarize all the audience's questions.