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KetanBhirud

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Ketanbhirud

Ketan Bhirud developed an AI-powered allergen detection API for the SafeBite_Infosys_Internship_Oct2024 repository, focusing on automated food allergen screening. He designed and implemented a Flask-based service that loads a pre-trained machine learning model and encoder using Joblib, exposing a /predict endpoint for POST requests with product data. The API processes input via Pandas, returning JSON responses that indicate detected allergens, thereby enabling downstream integration and automated testing. Ketan’s work established the core infrastructure for allergen prediction, demonstrating depth in API development and machine learning deployment, though the scope was limited to a single feature delivered within the month.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
45
Activity Months1

Work History

November 2024

1 Commits • 1 Features

Nov 1, 2024

November 2024 monthly summary for SafeBite project (AabidMK/SafeBite_Infosys_Internship_Oct2024). Delivered an AI-powered allergen detection API as a Flask service that loads a pre-trained model and encoder to predict allergen presence. Exposed a /predict endpoint accepting POST requests with product details and returning a JSON response indicating detected allergens. This work lays the foundation for automated allergen screening and downstream integrations.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage80.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

API DevelopmentData ScienceFlaskJoblibMachine LearningPandas

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

AabidMK/SafeBite_Infosys_Internship_Oct2024

Nov 2024 Nov 2024
1 Month active

Languages Used

Python

Technical Skills

API DevelopmentData ScienceFlaskJoblibMachine LearningPandas