Technoprise
Technoprise developed an AI-powered conversational platform aimed at collecting sexual and reproductive health data from young girls and women with disabilities in underserved area to truly enable “nothing about us without us”. The solution includes a WhatsApp chatbot, web chat interface, mobile app, and data collector portal, offering a comprehensive data collection system with a survey editor and AI-assisted analysis.
Project Goal
To address the lack of accessible and inclusive data collection methods, empowering young girls and women with disabilities to share their experiences, ultimately contributing to more informed and inclusive policies, healthcare, and social services. This platform, leveraging advanced natural language processing, has engaged users in a dynamic, accessible, and respectful conversation, dynamically updating based on their previous responses to capture their information as accurately and holistically as possible.
Project Team
The project team consists of experts in AI, user experience, and accessibility, committed to developing inclusive digital solutions
Top Achievements
Multi-Platform Solution: Developed a versatile platform featuring WhatsApp, web chat, and mobile app for dynamic, accessible conversations.
Advanced Accessibility: Integrated voice input, text-to-speech, and multi-language support for greater inclusivity.
Comprehensive Data Tools: Designed a robust survey editor and AI-powered analysis tools for efficient data collection and reporting.
Successful Pilot Testing: Conducted pilot testing with target users, gathering feedback to refine and enhance user experience.
Key Learnings
User-Centric Design: Highlighted the importance of continuous optimization based on user feedback to enhance usability and engagement.
Privacy vs. Data Needs: Balanced AI integration with privacy considerations, ensuring comprehensive yet respectful data collection.
Feedback-Driven Iteration: Learned the value of real-time feedback in improving the platform’s conversational flow and accessibility.
AI Limitations: Recognized the need to refine AI’s ability to handle complex, multi-part questions and skip logic for smoother surveys.
Future Plans
Enhanced Accessibility: Implement voice-only chat functionality and intelligent skip logic for more efficient and user-friendly surveys.
Data Quality Assurance: Establish robust data validation rules and develop a question library to ensure standardized, high-quality surveys.
Scalable Deployment: Expand platform capabilities to support larger data collection efforts across more regions and user demographics.
Voice Interaction Focus: Refine the platform’s ability to handle voice input seamlessly, improving accessibility for users with visual impairments.