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
Developed and deployed an end-to-end Allergen Prediction Web App for the SafeBite_Infosys_Internship_Oct2024 repository, delivering a complete solution from dataset creation to user interface. The project integrated a Flask API with a Streamlit frontend, enabling real-time allergen predictions based on curated data. Leveraged Python, Pandas, and Seaborn for dataset management and exploratory data analysis, producing a dedicated EDA notebook to inform model development. Enhanced deployment reliability by correcting model loading paths within the API, ensuring stable operation. All major changes were tracked with clear commit history, supporting traceability and maintainability throughout the data-driven allergen assessment workflow.
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
Loading activity data...
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
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline