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anika0001/README.md

Hi 👋, I'm Anika Gupta

Aspiring Software Engineer | Full Stack Developer | Java & DSA Enthusiast

Passionate about building scalable web applications and solving real-world problems through technology. Currently strengthening my skills in Java, Data Structures & Algorithms, and Full Stack Development while exploring AI-powered applications.


👩‍💻 About Me

  • 🎓 B.Tech in Computer Science Engineering (AI & Data Science)
  • 💻 Aspiring Software Engineer passionate about Full Stack Development
  • 🌱 Currently learning Java, DSA, React.js, and Backend Development
  • 🤖 Interested in AI-powered Web Applications
  • 🚀 Always eager to learn new technologies and improve my problem-solving skills
  • 📍 Greater Noida, India

🛠️ Tech Stack

Programming Languages

Java JavaScript Python

Frontend

HTML5 CSS3 React

Backend

Node.js Express.js

Database

MongoDB

Tools & Technologies

Git GitHub VS Code Postman


🚀 Featured Projects

🤖 AI Interview Report Generator

An AI-powered full-stack application that analyzes resumes, generates interview questions, identifies skill gaps, and creates personalized preparation roadmaps using the Gemini API.

Tech Stack: React, Node.js, Express.js, MongoDB, Gemini API


💡 AI Code Reviewer

A full-stack AI application that reviews source code and provides intelligent suggestions to improve code quality using the Gemini API.

Tech Stack: React, Node.js, Express.js, Gemini API


🌐 Monastery360

A responsive frontend website built using HTML, CSS, and JavaScript with a focus on clean UI, responsiveness, and user experience.


📚 Currently Learning

  • ☕ Advanced Java
  • 📘 Data Structures & Algorithms
  • ⚛️ React.js
  • 🌐 Backend Development
  • 🧩 System Design Fundamentals

🤝 Connect with Me


Thanks for visiting my GitHub profile! Feel free to explore my repositories and connect with me.

Popular repositories Loading

  1. world-bank-population-analysis world-bank-population-analysis Public

    Data visualization project using the World Bank dataset to analyze population distribution through histograms and bar charts using Python, Pandas, Matplotlib, and Seaborn.

    Jupyter Notebook

  2. bank-marketing-decision-tree bank-marketing-decision-tree Public

    Built a Decision Tree Classification model on the Bank Marketing dataset to predict customer subscription outcomes with data preprocessing, model training, and performance evaluation using Scikit-l…

    Jupyter Notebook

  3. twitter-sentiment-analysis twitter-sentiment-analysis Public

    Developed a sentiment analysis model to classify Twitter posts into positive, negative, or neutral sentiments using Natural Language Processing (NLP) techniques and Python.

    Jupyter Notebook

  4. titanic-data-cleaning-eda titanic-data-cleaning-eda Public

    Performed data cleaning and exploratory data analysis (EDA) on the Titanic dataset to identify trends, handle missing values, and visualize survival patterns using Python, Pandas, Matplotlib, and S…

    Jupyter Notebook

  5. us-accidents-eda us-accidents-eda Public

    Conducted exploratory data analysis on the US Accidents dataset to identify accident trends, weather impact, time-based patterns, and key contributing factors using Python, Pandas, Matplotlib, and …

    Jupyter Notebook

  6. Monastery360 Monastery360 Public

    Designed and developed a responsive frontend website using HTML, CSS, and JavaScript with a focus on clean UI, interactive elements, and an optimized user experience.

    HTML