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KetanBhirud

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Ketanbhirud

Developed an AI-powered allergen detection API for the SafeBite_Infosys_Internship_Oct2024 repository, delivering a foundational service for automated allergen screening in food products. The solution was implemented as a Flask application in Python, utilizing a pre-trained machine learning model and encoder loaded via Joblib to perform inference on incoming product data. A single commit introduced the core API functionality, exposing a /predict endpoint that accepts POST requests and returns JSON responses indicating detected allergens. The work established a clear input and output contract, enabling downstream integration and testing, and demonstrated proficiency in API development, data science, and machine learning workflows.

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