Skip to content
View zinogore's full-sized avatar

Block or report zinogore

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
zinogore/README.md

Hi there 👋

  • 🔭 I’m currently working on a telegram poll bot for bouldering locations in singapore.
  • 🌱 I’m currently learning Python, Web Development, Data Structures & Algorithms
  • ⚡ Fun fact: I like Monster Hunter, Bouldering and Chess!
From: 01 April 2026 - To: 13 June 2026

Total Time: 76 hrs 32 mins

Python       64 hrs 49 mins        >>>>>>>>>>>>>>>>>>>>>----   84.55 %
Markdown     7 hrs 20 mins         >>-----------------------   09.58 %
HTML         2 hrs 41 mins         >------------------------   03.51 %
Text         32 mins               -------------------------   00.71 %
Bash         25 mins               -------------------------   00.55 %
JSON         19 mins               -------------------------   00.43 %
CSS          12 mins               -------------------------   00.26 %
Git Config   9 mins                -------------------------   00.21 %
Other        7 mins                -------------------------   00.17 %

Pinned Loading

  1. Personal_Projects Personal_Projects Public

    Repository to showcase personal projects on Data Analysis / Machine Learning / AI / Python etc

    Jupyter Notebook 1

  2. Capstone_Project Capstone_Project Public

    IOD Capstone Project: Processed 1800+ apple leaf images using ResNet, DenseNet, and EfficientNet, achieving 99% accuracy. Implemented a web API for image classification, showcasing results with cat…

    Jupyter Notebook 1

  3. IOD_mini_project3 IOD_mini_project3 Public

    IOD mini project - NLP on unstructured review data on drug usages. Processed unstructured text data to train models to predict medical conditions with approximately 93% accuracy. Performed sentimen…

    Jupyter Notebook 1