Telesto - AI Track Food & Calorie App
Project Overview:
Revolutionize Your Diet with AI-Driven Nutrition Insights Tired of guessing what’s on your plate? Discover a smarter way to manage your health with our cutting-edge app, designed to decode your meals and empower your wellness journey. Using advanced AI technology, simply snap a photo of your food, and let the app instantly analyze calories, nutrients, and portion sizes—no manual logging required. Say goodbye to tedious tracking and hello to personalized insights! Whether you’re aiming to lose weight, build muscle, or simply eat mindfully, our app delivers real-time feedback tailored to your goals. It’s precision made effortless, giving you the tools to make informed choices and stay motivated.
Client
Role
Time line
Live project
Objective
Simplify nutrition tracking, improve user adherence to dietary goals, and drive measurable health improvements.
Background: Traditional calorie-counting apps often fail due to manual entry fatigue, inaccuracies, and lack of personalization. Users struggle to stay consistent, leading to abandoned goals and frustration. Telesto sought to solve this by integrating AI-driven photo analysis and personalized insights to make nutrition tracking effortless and actionable.
The Challenge
User Pain Points:
Time-consuming manual logging of meals.
Inaccurate portion-size estimations.
Lack of motivation due to generic recommendations.
Difficulty tracking micronutrients (e.g., vitamins, minerals).
Business Goal: Increase user retention by 40% and achieve a 25% improvement in self-reported health outcomes within 6 months.
The Solution
Telesto’s AI-Driven Approach
Instant Photo Analysis:
Users snap a photo of their meal, and Telesto’s AI identifies ingredients, estimates portion sizes, and calculates calories/macros in seconds.
Example: A bowl of mixed salad is automatically broken down into greens, proteins, dressings, and portion-adjusted nutrients.
Personalized Feedback Engine:
AI analyzes user goals (weight loss, muscle gain, etc.) and provides real-time suggestions (e.g., “Add 10g of protein to meet your daily target”).
Habit-Forming Insights:
Weekly reports highlight trends (e.g., “You consumed 20% more sugar this week”) and offer actionable tips (e.g., healthier snack swaps).
Integration with Wearables:
Syncs with Apple Watch, Fitbit, and glucose monitors to contextualize nutrition with activity and metabolic data.
Implementation & Results
Pilot Group: 1,000 users over 6 months.
Metric | Result |
|---|---|
User Retention | 62% increase (vs. previous app version) |
Time Spent Tracking | Reduced by 70% (photo vs. manual entry) |
Health Outcomes | 31% reported weight loss (avg. 12 lbs) |
Micronutrient Awareness | 89% improved vitamin/mineral intake |
