AaharIQ Feature Guide 2026 | AI Food Safety Scanner India | How It Works

• Diabetes Filter: Evaluates glycaemic load per serving, identifies hidden sugars (maltodextrin, dextrose, rice syrup, fruit juice concentrate — all raise blood glucose equivalently to sucrose), flags products with >6g added sugar per serving, evaluates carbohydrate quality (whole grain vs refined), and provides a "diabetes safety score" of 1–10.

• Hypertension / Sodium Filter: Calculates sodium per 100g and per serving, benchmarks against WHO's 2,000mg/day maximum, flags products in the "high sodium" (>600mg/100g) and "very high sodium" (>1,500mg/100g) categories, identifies hidden sodium sources (sodium benzoate, sodium citrate, monosodium glutamate — additives that contribute to sodium load beyond labelled "sodium as salt" figures), and evaluates potassium content (protective against sodium's BP effects).

• Thyroid Filter: Identifies goitrogens (isothiocyanates from cruciferous vegetables, cassava-based ingredients), evaluates iodine content and iodised salt usage, identifies soy isoflavones that may interfere with levothyroxine absorption in sensitive patients, flags products with high fluoride content (excess fluoride suppresses thyroid in iodine-deficient individuals), and checks for selenium content (required for T4→T3 conversion).

• PCOS Filter: Evaluates glycaemic load, identifies testosterone-precursor additives, flags dairy-heavy products for patients on dairy-reduction protocols, evaluates insulin index (beyond glycaemic index — particularly relevant for PCOS), identifies anti-androgenic food components, and evaluates omega-6:omega-3 ratio contribution per serving.

• Kidney Health Filter (CKD/Nephropathy): Evaluates phosphorus content, identifies phosphate food additives (E338–E452 series — bioavailable phosphate additives that are more absorbed than naturally occurring food phosphorus), flags high-potassium products for CKD stage 3b+, evaluates sodium content, assesses protein per serving against CKD protein restriction thresholds, and identifies oxalate-rich products (relevant for kidney stone formers).

• Gout / Uric Acid Filter: Identifies HFCS and crystalline fructose content (primary modern gout trigger), evaluates purine contribution from animal protein-containing products, flags beer and alcohol in cooking ingredients, evaluates sodium content (diuretics prescribed for associated hypertension further raise uric acid).

• Bone Health Filter: Tracks calcium content per serving, identifies Vitamin D3 fortification (distinguishing D2 vs D3 — D3 is more bioavailable), flags phosphoric acid (bone calcium-leaching — found in colas), evaluates sodium (urinary calcium loss driver), identifies oxalate-calcium ratio in plant-based products (oxalates reduce calcium absorption), and flags products interfering with calcium absorption (excess zinc or iron in same product competes with calcium).

• Inflammation / Autoimmune Filter: Identifies emulsifiers with gut-disrupting evidence (carrageenan/E407, CMC/E466, polysorbate-80/E433), flags titanium dioxide (E171 — banned in EU; still permitted in India), evaluates artificial dye content (Red 40, Yellow 5/6 — associated with hyperactivity and immune activation in sensitive individuals), identifies trans fats, evaluates omega-6 contribution per serving, and flags HFCS and excess fructose.

• AI Meal Analyser: Photograph a home-cooked meal; AaharIQ estimates nutritional composition, glycaemic load, and disease filter evaluation for non-packaged food using computer vision and Indian recipe database.

• Blood Glucose Correlator: Connect with continuous glucose monitors (CGM) via API; AaharIQ will correlate which scanned products created the highest glucose spikes in your personal data — creating truly personalised low-GI guidance.

• FSSAI Recall Alerts: Real-time push notifications when FSSAI issues a recall or enforcement notice for a product you have previously scanned or that matches your profile.

• Family Health Profiles: One account managing multiple family members with different health conditions — grandfather with CKD, mother with PCOS, child with egg allergy — each family scan gets multi-profile evaluation simultaneously.

• Pharmacist Integration: Cross-reference scanned product ingredients against prescription medications for food-drug interactions — grapefruit and statins, vitamin K and warfarin, St John's Wort and antidepressants, and India-specific interactions with ayurvedic supplements and common Indian foods.

• Restaurant Menu Scanner: Photograph restaurant menus and get AaharIQ health filter evaluation of dishes — extending the safe eating guidance beyond packaged food to dining out.

AaharIQ's health filter recommendations are built on: ICMR dietary reference values and disease guidelines, FSSAI standards and notifications, WHO Global Action Plan for NCDs, Cochrane systematic reviews and meta-analyses for each disease filter criterion, PREDIMED, UKPDS, NHANES, NFHS-3/4/5, ICMR-INDIAB, and IDF Atlas data for India-specific epidemiological context. All health claims in AaharIQ's disease filters are referenced to published peer-reviewed literature with no assumptions made from unvalidated sources. The AaharIQ team commits to updating filter criteria within 90 days of major guideline revisions from ICMR, ADA, ESC, NICE, and WHO.