We believe every Indian deserves a nutritionist
A consultation with a qualified nutritionist costs ₹2,000–5,000 per session. Most families can't afford regular visits. MealCoreAI was built to change that — making personalised, condition-specific nutrition accessible to every Indian family, in their language, their cuisine, and their budget.
Our story
MealCoreAI was founded in 2024 after our co-founder Arjun was diagnosed with insulin resistance and PCOS-adjacent symptoms. He visited a nutritionist who gave him a printed meal plan: generic, expensive, and with no consideration for his South Indian food background. He followed it for two weeks before giving up.
The problem wasn't nutrition knowledge. It was personalisation. What works for a Punjabi family doesn't work for a Tamil one. What a diabetic woman in her 60s needs is different from what a 28-year-old with PCOS needs. Generic advice fails because nutrition is deeply personal.
We partnered with Dr. Priya Sharma and Kiran Rao to build an AI that could do what the best nutritionists do: analyse your specific health condition, understand your regional food culture, account for your cooking constraints and taste preferences, and generate a meal plan that actually fits your life.
Today, MealCoreAI generates personalised Indian meal plans for 8 health conditions across 17 regional cuisines. We're just getting started.
What we believe
Indian-first
Built from the ground up for Indian food culture, not adapted from Western nutrition apps.
Condition-specific
Every plan is tailored to your health condition, not generic 'healthy eating' advice.
Evidence-based
Our nutrition logic is grounded in peer-reviewed research and clinical nutrition guidelines.
Privacy first
Your health data is yours. We never sell it or share it with third parties.
Meet the team
Arjun Mehta
Co-founder & CEO
Former product lead at a health-tech startup. Diagnosed with insulin resistance at 28, which led to building MealCoreAI.
Dr. Priya Sharma
Head of Nutrition Science
Registered dietitian with 12 years of clinical experience in managing PCOS, diabetes, and thyroid through diet.
Kiran Rao
Co-founder & CTO
ML engineer with a background in health informatics. Built the AI personalisation engine that powers MealCoreAI.
Dr. Priya Sharma — Clinical Credentials
Dr. Priya Sharma holds a postgraduate qualification in Food Science and Nutrition and has been a registered member of the India Dietetic Association (IDA) for over nine years. She has worked in clinical nutrition settings across hospital outpatient departments in Mumbai and Pune, with a focus on metabolic disorders: insulin resistance, PCOS, Type 2 diabetes, and hypothyroid.
At MealCoreAI, Dr. Sharma reviews all condition-specific meal plan templates before they are made available to users. Her review process covers three checks: clinical accuracy of nutritional targets for each health condition, glycaemic appropriateness of the grains and dals included, and cultural and practical relevance for Indian regional cuisines. Plans are re-reviewed whenever the underlying condition guidelines are updated.
Her specific interest is in the gap between Western nutritional research and Indian dietary reality. Most peer-reviewed studies on low-GI eating or PCOS nutrition are conducted on non-Indian populations eating non-Indian foods. Her work at MealCoreAI involves translating the evidence into Indian-food-specific interventions — using ragi, jowar, bajra, methi, karela, and moong dal rather than quinoa, avocado, and cauliflower rice.
Why Indian Users Need Condition-Specific Meal Planning
Generic diet advice fails Indian users for three consistent reasons.
First, most nutritional research is conducted on Western populations eating Western diets. Low-GI food lists routinely cite multigrain bread and sweet potatoes while omitting ragi (GI 54), jowar (GI 52), and bajra — staple Indian grains with comparable or superior glycaemic profiles.
Second, Indian eating patterns are structurally different from Western ones. The meal is not a protein + vegetable + grain in separate portions. It is a combination — dal and rice eaten together, sabzi and roti eaten together — where the glycaemic response depends entirely on the ratio, sequencing, and preparation method. Advice that ignores this combination effect produces incorrect dietary guidance.
Third, regional variation matters enormously. A PCOS meal plan for a Tamil Nadu user that recommends jowar roti is not useful — jowar is not a common grain in South Indian cooking. A plan that substitutes pesarattu and ragi dosa is both clinically equivalent and actually usable. MealCoreAI generates plans that match the user's regional cuisine, not a generic Indian diet.
How MealCoreAI Is Built
MealCoreAI generates 7-day meal plans using a condition-specific nutrition framework developed in collaboration with Dr. Priya Sharma. Each framework defines the target macronutrient ranges, glycaemic load targets, and key foods for that condition — then maps them to breakfast, lunch, snack, and dinner options across seven regional Indian cuisines.
When a user selects their condition and regional cuisine, the AI selects from the clinically validated options for that combination, generates a full 7-day plan, and automatically creates a grocery list from the plan. The entire process takes under 90 seconds.
Plans can be regenerated daily. Users on paid plans can adjust for food preferences and dietary restrictions (vegetarian, Jain, no onion/garlic, egg-free, and others). The grocery list updates automatically when the plan is regenerated.
All condition frameworks are reviewed by Dr. Sharma before release. The PCOS framework, for example, prioritises low-GI grains, high-protein breakfasts, and methi consumption — because these three interventions have the strongest evidence base for reducing fasting insulin in PCOS, which is the root mechanism driving irregular periods and androgen elevation.
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