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About FoodQuant

We are on a mission to simplify nutritional data analysis for students and researchers worldwide.

Our Story

FoodQuant began as a research tool developed within an academic environment. We noticed that researchers were spending more than 90% of their time on manual data entry and spreadsheet formulas rather than analyzing their findings.

We built FoodQuant to bridge this gap, creating an automated platform that turns raw dietary recalls into clean, academic-ready data in minutes.

Founded in 2024

The Problem

Manual nutritional analysis is broken.

Human Error

Manual lookup leads to significant data entry mistakes.

Time Consuming

Processing 1,000 respondents can take weeks manually.

Format Chaos

Raw data is rarely ready for academic presentation.

The FoodQuant Engine

Our Solution

We provide an automated pipeline that ingests raw spreadsheets, identifies food items, computes nutritional values against international standards, and exports polished reports.

Automation-First Approach

Our Roadmap

We are constantly improving. Here is what is coming next to FoodQuant.

AI-Powered Matching

Enhanced machine learning for even more accurate food identification.

Offline App

Dedicated desktop application for processing data without internet.

Global Food DB

Expanding our database to include more regional and local cuisines.

Ready to join our research community?

Start using FoodQuant today and join hundreds of researchers making data processing effortless.

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