Skip to content
View atrip0305's full-sized avatar
1 follower · 1 following
  • NIT Kurukshetra

Block or report atrip0305

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 supported. This note will be visible to only you.
Report abuse

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

Report abuse
atrip0305/README.md

💫 About Me:

👩‍💻 About Me

🔭 Currently building:
Privacy-first apps, ML/NLP systems, and full-stack projects

👯 Open to collaborate on:
Data science, NLP, analytics, or impactful product ideas

🌱 Learning & improving:
DSA, system design basics, React + TypeScript, and scalable ML

💬 Ask me about:
Python, NLP, offline-first systems, data analysis

🌐 Socials:

email

💻 Tech Stack:

C++ HTML5 JavaScript Python Vercel Express.js FastAPI NestJS Next JS NodeJS React React Router Vite MongoDB MySQL Redis Prisma SQLite Canva Figma Matplotlib NumPy Pandas PyTorch scikit-learn TensorFlow Git GitHub Selenium Vitest Docker

📊 GitHub Stats:



🏆 GitHub Trophies

Pinned Loading

  1. mental-health-portal-moderation mental-health-portal-moderation Public

    An automated content moderation module built for a mental health support platform to detect and flag harmful, abusive, or triggering user-generated content. The system prioritizes safety-aware mode…

    TypeScript

  2. SMS_spam_classifier SMS_spam_classifier Public

    Jupyter Notebook

  3. period-tracker period-tracker Public

    A privacy-centric, offline-first period tracking application that stores all user data locally and performs on-device cycle prediction. Designed with modular architecture and zero cloud dependency,…

    TypeScript

  4. hate-speech-detection hate-speech-detection Public

    A machine learning–based hate speech detection system that classifies text into hateful and non-hateful categories using transformer-based NLP models. Built with an end-to-end pipeline including pr…

    Jupyter Notebook