AabidMK/SafeBite_Infosys_Internship_Oct2024
Nov 2024 – Nov 2024
1 Month active
Languages Used
CSVJupyter NotebookPython
Technical Skills
API DevelopmentAPI IntegrationData AnalysisData EngineeringData VisualizationDataset Management
Sandeepkumar Yadav
PROFILE
Sandeepkumar Yadav
During November 2024, Sandeep Yadav developed an end-to-end Allergen Prediction Web App for the AabidMK/SafeBite_Infosys_Internship_Oct2024 repository. He designed and integrated a dataset, performed exploratory data analysis using Python and Pandas, and built a Streamlit user interface connected to a Flask API for real-time allergen prediction. Sandeep improved deployment stability by correcting model loading paths within the API, ensuring reliable operation. His work included creating a traceable commit history and delivering all components required for data-driven allergen assessment. The project demonstrates depth in API development, data engineering, and machine learning, providing a robust foundation for predictive allergen analysis.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
1,943
Activity Months1
Your Network
6 peopleWork History
November 2024
4 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for the SafeBite Infosys Internship project. Delivered end-to-end Allergen Prediction Web App including dataset, Exploratory Data Analysis (EDA) notebook, and deployment components; hardened API reliability by correcting model loading paths; established a traceable commit trail for all major changes. This work enhances data-driven allergen assessment, improves prediction reliability, and accelerates the data-to-decision path.
4 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for the SafeBite Infosys Internship project. Delivered end-to-end Allergen Prediction Web App including dataset, Exploratory Data Analysis (EDA) notebook, and deployment components; hardened API reliability by correcting model loading paths; established a traceable commit trail for all major changes. This work enhances data-driven allergen assessment, improves prediction reliability, and accelerates the data-to-decision path.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture85.0%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVJupyter NotebookPython
Technical Skills
API DevelopmentAPI IntegrationData AnalysisData EngineeringData VisualizationDataset ManagementExploratory Data AnalysisFlaskFrontend DevelopmentMachine LearningMatplotlibPandasPythonSeabornStreamlit
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