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Who We Are
With millions of severely malnourished children going without screening in India, our goal is to provide accurate, accessible, and affordable monitoring solutions to ensure early intervention and optimal child development.
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Our groundbreaking smartphone-based anthropometry technology allows for precise height measurement from a single photograph, making it easier for caregivers, healthcare workers, and parents to track a child’s growth without expensive equipment. By correlating growth data with nutrition, we provide personalized insights and actionable meal plans to prevent malnutrition and promote healthy growth trajectories.
Our team brings expertise in Camera Vision, Machine Learning, NLP, Public Health and Pediatrics, ensuring a holistic approach to child growth monitoring and nutrition.​
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Backed by government partnerships, leading healthcare experts, and AI specialists, MAAP AI integrates with initiatives with DPIs to scale malnutrition screening across underserved communities.
Recognized by national and global organizations, we are dedicated to leveraging deep-tech solutions to create a lasting impact on child health.
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Our solution has been recognized with multiple prestigious awards and has also secured significant grants.
The Making of MAAP AI
MAAP BTS (Behind the Scene)
From a chance meeting at IIT Hyderabad to tackling child malnutrition with AI, Nilashis and Romita’s journey with MAAP is a story of passion, innovation, and impact.
Follow this anime strip to see how it unfolded over the years!
Why we do What we do
"While working at the grassroots and studying Nutrition during my PhD, I saw first hand how maternal nutrition shapes a child's brain (and height). It became clear to me that giving birth to a healthy child is far easier than struggling to make them learn faster or be smarter later. That’s why I do what I do at MAAP AI - to empower mothers, caregivers, teachers and the Govt with the right knowledge and tools so every child gets the best possible start in life."
Romita Ghosh - CEO
Drawing from their journey of building MAAP as an AI-first healthcare company, the founders authored Mastering AI for Healthcare to democratize knowledge and make AI insights accessible to a broader healthcare audience. The book presents practical use cases, highlights real-world implementation challenges especially in low-resource settings and emphasizes the critical role of partnerships and collaborations in driving impactful innovation.
