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calories_prediction_project

Calories Burnt Prediction is a Machine Learning project that estimates calories burned during workouts using personal and exercise-related data. It compares four regression algorithms and provides interactive visualizations, model evaluation, and an interactive dashboard for real-time predictions.

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GITHUB · launched Nov 8, 2026 · 31 upvotes (top 77%) · 0 views

Niche: fitness and health trackers · 434 launches, 41 in the last 7 days ▼ -7% · Explore this niche →

Category and tags

  • Healthcare
  • Analytics & BI
  • B2C
  • AI-native
  • Hobby / open-source project

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Could you build this?

Yes It is a standard tabular regression project: compare four scikit-learn models, plot the results, and wrap the best model in a dashboard.

Competitors

Other products that read as similar to this one : 193 launches clear the similarity bar, closest 8 shown.

Attention rank: #181 of 194 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 296 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.