Skip to content
View ianusha08's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report ianusha08

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
ianusha08/README.md

anusha · ianusha08

building AI-powered tools and web applications

AI/ML Student • Open Source Contributor • Open to Internships

LinkedIn Twitter


what i'm doing

  • building real-world AI and frontend projects
  • contributing to open source through GSSoC and GitHub
  • exploring GenAI, LLMs, and practical AI applications
  • actively seeking internship opportunities and industry experience

tech

Python JavaScript TypeScript React Tailwind CSS Git GitHub MySQL


projects

project what it is
🔒 Restricted Area Intrusion Detection React frontend for a real-time surveillance alert system
🤝 Hello Buddy Mental wellness companion app with mood tracking calendar
🎧 Helpdesk UI Clean support desk interface built in TypeScript
🌸 SheHeal Women's health companion and wellness management

github stats

Pinned Loading

  1. customer-segmentation-kmeans customer-segmentation-kmeans Public

    Customer segmentation using K-Means clustering and data visualization in Python.

    Jupyter Notebook

  2. helpdesk-ui helpdesk-ui Public

    Modern helpdesk ticket management interface built with React, TypeScript, Tailwind CSS, React Query, and Recharts.

    TypeScript

  3. restricted-area-intrusion-detection restricted-area-intrusion-detection Public

    React-based frontend for a real-time restricted area intrusion detection system with live camera preview and alert UI

    Python

  4. titanic-survival-prediction titanic-survival-prediction Public

    Titanic survival prediction using Machine Learning and Python

    Jupyter Notebook