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Awais Sabir

FAST · 2023 · i19-0642
Email
Phone
LinkedIn
GitHub

Academic

Program
CGPA
Year
2023
Education
Address
DOB

Career

Current role
Target role
Skills
MERN STACK, React Native, Python

Verbatim text

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Group Members:
Iman Tariq (i19 - 0440)
Awais Sabir (i19 - 0642)
Syed Hamza Hasan (i19 - 0428)
Technology Used:
MERN STACK, React Native, Python
Supervisor Name:
Mr. Bilal Khalid Dar
Eat Fit
Eat Fit is a mobile based application that provides you with a setup that helps you to keep track of your daily caloric intake according to your dietary preferences while keeping the goal of the users in check. You can make meal plans which will remove the hassle of determining what to eat hence eliminating the process of searching for recipes. To fulfill a fitness goal arbitrary exercises are not sufficient. An elaborate fitness program which caters both the meal needs and the exercises that will lead the users to their objective is provided by our application Eat Fit. And this does not conclude it at all, you can also interact with users registered on the application through a social media forum and remain updated about them.
Features include:
• AI based meals
• AI based fitness plans
• meal modifications
• integrated step tracker
• intermittent fasting
• social platform with AI based recommendations
• OCR barcode scanning
• Shopping list
• Scanning of hardcopies of recipes
• Water tracker and medical calculators (BMI/BMR)

AI enrichment

Awais Sabir is a student who contributed to the development of 'Eat Fit,' a mobile application built with the MERN stack and React Native. The project focused on providing AI-driven meal planning, fitness tracking, and social features to help users manage their dietary and exercise goals.
Skills (AI)
["MERN Stack", "React Native", "Python", "AI Integration", "Mobile Application Development", "OCR Barcode Scanning"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 355
Created: 1778140212