Client: Gram Vaani
Location: India
Industry: Social Impact, Rural Tech, Voice Platforms
Services Provided: Conversational AI, Voice-to-Text, Multilingual NLP, LLM Integration, TTS Systems
Project Overview
Gram Vaani is a social enterprise working at the intersection of technology and rural empowerment. Their core offering was a voice-based helpline that served thousands of people in rural India, offering information and support on topics like labor rights, sex education, women’s health, and government schemes.
Operating in low-connectivity areas with limited digital literacy, their users relied on simple phone calls to ask questions and get answers. But due to the manual nature of their call center operations, each query required human transcription, translation, and research before a response could be delivered—often leading to turnaround times of 10–12 hours or more.
Our challenge was to design and deploy a system that could automate this entire interaction cycle end-to-end, without compromising on accuracy, language diversity, or accessibility.
Solution Delivered
TAS developed a fully automated, AI-powered voice interaction system tailored for rural users. The system ingested incoming voice calls and passed them through a series of advanced NLP and speech pipelines to simulate the work of a human agent.
🔹 Key Capabilities:
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Voice-to-Text Transcription: Converted incoming queries in multiple Indian languages to text using ASR (Automatic Speech Recognition).
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Language Translation: Translated local dialects and regional languages (e.g., Bhojpuri, Maithili, Hindi) into English for better LLM understanding.
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Answer Generation: Integrated with a fine-tuned Large Language Model (LLM) to generate accurate, informative responses based on the user’s intent.
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Text-to-Speech Conversion: Translated the English answer back to the original language and delivered it as a voice response over a call.
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Failover Handling: Included fallback prompts and handoff logic to human agents if confidence was low.
Results & Impact
The new system completely transformed how Gram Vaani served its users. Instead of waiting 10–12 hours for a callback, most users received an accurate, relevant voice response within 3–5 minutes of their original call.
📊 Key Outcomes:
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Reduced response time: From 10+ hours to under 5 minutes
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Handled 500+ daily queries with 80% automation
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Enabled 24×7 support without hiring additional agents
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Improved access to sensitive info (e.g., health, rights) with user privacy maintained
By removing the manual bottleneck and adding instant voice-based interaction, Gram Vaani significantly improved access to essential information for underserved communities. The solution not only scaled affordably but also paved the way for AI-led rural knowledge dissemination in low-resource environments.
