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Sanskar Srivastava

sanskarsri26

šŸ‘‹ Hi, I’m Sanskar Srivastava, a Computer Science junior with a Statistics minor from Arizona State University. šŸš€ šŸ”¬ Currently diving into the world of mach

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Python69%TypeScript15%Jupyter Notebook8%Java8%

Top Repositories

Repositories

16
SA
sanskarsri26/NexHacks-FinalFork

No description provided.

00Updated 1 month ago
SA
sanskarsri26/AIIndoorNavigationApp

No description provided.

TypeScript00Updated 1 month ago
SA
sanskarsri26/UNLEARN-BENCH

No description provided.

Python00Updated 2 months ago
SA
sanskarsri26/pdf-to-lecture

convert pdf to lecture with voice over and ppt slides.

Python20Updated 2 months ago
SA
sanskarsri26/mayo_clinic_capstone

Capstone project for Mayo Clinic - CSE 486

Jupyter Notebook00Updated 3 months ago
SA
sanskarsri26/Perovskite-defects-identification

Defects in perovskite

Python10Updated 6 months ago
SA
sanskarsri26/XML-Hosting

No description provided.

00Updated 10 months ago
SA
sanskarsri26/assignment4-445

No description provided.

00Updated 11 months ago
SA
sanskarsri26/Database-job-tree

Database for tree

Python00Updated 11 months ago
SA
sanskarsri26/ML-model-skin-disease

disease detection model using ML model and transfer learning

Python10Updated 1 year ago
machine-learningskin-disease-classifiction
SA
sanskarsri26/Banking_System

The Java code represents a console-based banking system. Users can create accounts, deposit, withdraw, and view details. The program runs in a loop until the exit option is chosen. It demonstrates basic OOP and user interaction.

Java10Updated 1 year ago
SA
sanskarsri26/skin-disease-detection

Skin Disease Detection Application

TypeScript10Updated 1 year ago
SA
sanskarsri26/script-DB-creation

No description provided.

Python00Updated 1 year ago
SA
sanskarsri26/dependency

No description provided.

Python00Updated 1 year ago
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sanskarsri26/Hackathon

SUNHACKS

Python10Updated 1 year ago
SA
sanskarsri26/Age_gender_recognize

Designed and developed an efficient age recognition algorithm that accurately analyzed individuals' ages in real-time from video input streams deploying OpenCV and deep learning approaches, achieving a high accuracy of 95% testing with 500 cases.

Python10Updated 1 year ago

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