Fitness & Weight Tracking Platform Development with Smart Predictions

A smart weight tracking platform that combines progress visualization, goal tracking, and predictive insights.

Website

Project name

Ontrack

Duration

5 months

Team

4 members

Industry

Fitness/Sport

Technologies

Next.js
Node.js
MongoDB

Services

Web Development

About Ontrack: Smart Weight Tracking with Predictions

Ontrack is a wellness platform designed to help users monitor their weight progress and stay motivated as they work toward their goals.

 

Unlike traditional weight trackers that only record measurements, Ontrack helps users see if they are on track to reach their target weight. It combines progress tracking, data visualization, and predictive insights to give users a clearer picture of their fitness journey.

 

Users can track their progress over time, get personalized insights, and share their results with others both on and off the platform.

The Tasks: Predictive Dashboard & Adaptive Design

Development with a provided design
Create a simple and intuitive platform based on a provided design that would help users track their weight progress
Timeline prediction
Provide a custom dashboard timeline prediction and completion rating based on user's progress
Adaptive versions
Make it look good for all display resolutions

Functionality

Personalized Onboarding: Goals, Dates & Target Weight

The onboarding process collects the key details needed to create a personalized weight-tracking plan. Users enter their current weight, target weight, and timeline. With this information, the platform builds a custom tracking experience that supports future predictions and insights.

 

The onboarding process was intentionally kept simple to reduce friction and encourage users to start tracking immediately.

Dashboard: Progress Timeline Graph & Predictions

The dashboard is the main part of the platform. Users can log their weight, look back at their progress, and see changes on an interactive timeline graph. Rather than just showing numbers, the dashboard helps users spot trends and see how their progress matches their goals.

 

The prediction system uses recorded data to estimate future progress, so users can see if they are likely to reach their target weight in the time they chose.

Insights: Caloric Deficit, Days Left & Goal Distance

To keep users motivated and informed, the platform gives personalized insights based on their activity and progress. Users can see how many kilograms remain until their goal, how many days are left within their selected timeframe, and information related to their caloric deficit.

 

These insights help transform weight tracking from simple data collection into a more actionable and informative experience.

Data Export, Import & Entry Management

The platform allows users to easily manage their tracking history. Users can import and export their data, so they can move information between devices or keep backups of their progress. The entry management section gives a full overview of their measurements and lets users edit, delete, sort, or update entries whenever they want. This flexibility helps keep data accurate and gives users complete control over their tracking history.

Technology Stack: Next.js, Node.js & MongoDB

We built the platform with Next.js, Node.js, and MongoDB. For data visualization, we used Highcharts to create interactive graphs that show weight progress and predictions clearly. The selected architecture provides a solid foundation for future expansion as the product evolves.

Results & Future Vision

Although the platform is not yet publicly launched, it already offers a strong base for modern weight tracking and wellness management. In the future, we plan to add more wellness features like fitness club integrations, activity tracking, and broader health monitoring. Our goal is to turn Ontrack into a complete platform that helps users manage and improve their entire fitness journey.

Ready to Build Your Fitness or Wellness Platform?

We build wellness, fitness, and health-focused platforms that combine intuitive user experiences with meaningful data insights.