bright-diet

bypushkar uttarrwar

Build a minimal but functional AI-powered app that: • helps users stay disciplined with dieting • estimates calories from user food input • suggests recovery strategies after cheat meals • tracks daily calorie goals The main value proposition is: “Fix your diet instantly after cheat meals.” CORE USER PROBLEM When people eat unhealthy food, they usually feel guilty and abandon their diet. Existing apps like MyFitnessPal require heavy manual calorie tracking. This new app focuses on quick recovery guidance instead of complex tracking. Example user situation: User message: "I ate two slices of pizza." AI response: Estimated calories: 600 Recovery options: Option 1 45 minutes walking Option 2 20 minute HIIT workout Option 3 Reduce dinner carbs by 40g TARGET USERS Primary users: • people trying to lose weight • beginner gym users • people who struggle with diet discipline Age range: 18–40 years old. MVP FEATURES The first version must include these features only. Do not add unnecessary complexity. FEATURE 1 — USER ONBOARDING When the user opens the app for the first time, collect: Age Gender Height Weight Activity level Fitness goal options: Lose weight Maintain weight Build muscle Based on this information calculate: Daily calorie target Example: Daily calorie goal: 1800 calories Store this data in the database. FEATURE 2 — DAMAGE CONTROL AI CHAT This is the main screen. Users type what they ate. Example input: "I ate a burger and fries." The AI should: Estimate calories Compare with user's calorie goal Suggest recovery actions Example response: Estimated calories: 650 Today's calorie status: Consumed: 1450 / 1800 Recovery options: Option 1 Walk 50 minutes Option 2 20 minute cycling workout Option 3 Reduce dinner carbs by 40g Important rules: • Always give 3 recovery strategies • Strategies must include exercise or diet adjustments • Keep responses simple and practical FEATURE 3 — WEEKLY FREE LIMIT Free users should only be allowed: 5 AI queries per week. If limit is reached show message: "You have reached your weekly limit. Upgrade to premium for unlimited AI diet coaching." FEATURE 4 — DIET DASHBOARD Create a dashboard screen showing: Daily calorie target Calories consumed Calories remaining Example display: Daily target: 1800 Consumed: 1300 Remaining: 500 Also show: Discipline score (basic version) FEATURE 5 — PREMIUM SUBSCRIPTION Add a subscription page. Premium benefits: Unlimited AI damage control queries Advanced diet insights Future features like photo food analysis Monthly price placeholder: ₹299 per month Integrate payments using: Razorpay FUTURE FEATURE (DESIGN BUT DO NOT IMPLEMENT YET) AI food photo analysis. User takes a photo of food. AI estimates: Food type Calories Protein Carbs Fat Then updates the user's calorie dashboard. Example output: Detected food: Chicken Burger Calories: 520 Protein: 28g Carbs: 42g Fat: 24g APP SCREENS The app should include these screens: Onboarding screen AI damage control chat screen Diet dashboard screen Premium upgrade screen Keep UI clean and simple. TECH STACK REQUIREMENTS Build the MVP using modern simple architecture. Frontend: React or Flutter Backend: Node.js or Python Database: Supabase or Firebase AI integration: OpenAI API AI PROMPT LOGIC When a user submits food input, send the following prompt to the AI: User fitness goal: {goal} Daily calorie target: {target} Food eaten: {user input} Instructions to AI: Estimate calories of the food. Calculate impact on daily calorie target. Provide 3 practical recovery strategies. Keep response concise. UI DESIGN PRINCIPLES The app should feel: • fast • minimal • friendly Main design focus: Users must be able to enter food and get advice in less than 5 seconds. SUCCESS METRIC Key metric for the MVP: Daily active users using the damage control AI. Goal: Users should interact with the AI multiple times per week. DEVELOPMENT OUTPUT Generate: Full app architecture Database schema API endpoints UI component structure AI integration logic Basic working prototype IMPORTANT DESIGN RULE The product must always feel like: A quick diet recovery assistant, not a complicated fitness tracker. Speed and simplicity are the core value. Final Instruction Build the MVP version first. Focus only on the core experience: User eats something → asks the AI → gets a recovery plan.