I'm **Anamika Shah**, an AI Engineering student passionate about building intelligent software that combines robust backend engineering with modern Artificial Intelligence.
I enjoy designing scalable backend systems, autonomous AI agents, machine learning applications, and real-world AI products that solve meaningful problems.
### π Interests
- π€ Artificial Intelligence
- π§ Large Language Models
- βοΈ Backend Development
- π AI Agent Systems
- π Machine Learning
- π REST APIs
- βοΈ Cloud Technologies
- ποΈ System Design
These are the projects I'm actively building and maintaining.
| β Repository | Description |
|---------------|-------------|
| π **Lumina_OS** | Intelligent automation platform powered by Python and AI. |
| π€ **DSA Mentor Agent** | AI mentor that teaches DSA using the Socratic learning approach. |
| π **Face Recognition PCA + ANN** | Machine Learning face recognition system using Eigenfaces and ANN. |
| π» **NeetCode Submissions** | Optimized LeetCode & NeetCode DSA solutions repository. |
| Project | Category | Status | Technologies |
|----------|----------|:------:|-------------|
| π **Lumina_OS** | AI Automation | π’ Active | Python, Automation, AI |
| π€ **DSA Mentor Agent** | AI Agents | π’ Active | LangChain, LangGraph, Python |
| π **Face Recognition (PCA + ANN)** | Machine Learning | π’ Active | OpenCV, PCA, ANN |
| π» **NeetCode Submissions** | Competitive Programming | π’ Active | Python |
| π **Studdy-Buddy** | AI Education | β
Completed | Flask, Gemini API, SQLite |
π Total Projects : 5
π’ Active Projects : 4
β
Completed Projects : 1
π€ AI Projects : 3
βοΈ Backend Projects : 3
π§ Machine Learning : 1
π» DSA Repository : 1
π₯ Currently Maintaining : 4
π Total Technologies Used : 15+
An AI-powered automation environment designed to streamline intelligent workflows through modular architecture and extensible tools.
Lumina_OS is my flagship project focused on creating a unified automation ecosystem where AI agents, utilities, and workflows can work together seamlessly. The goal is to provide a scalable platform capable of integrating multiple AI services, automation pipelines, and intelligent decision-making.
- π€ AI-powered workflow automation
- π§© Modular and extensible architecture
- β‘ Intelligent task execution
- π API integrations
- π§ Memory-ready design
- π Scalable project structure
- π οΈ Tool-based architecture
- π Future multi-agent support
Python
Automation
OOP
REST APIs
System Design
An autonomous AI mentor that teaches Data Structures & Algorithms using the Socratic Method instead of directly giving solutions.
The DSA Mentor Agent simulates the experience of learning from a real mentor. Instead of solving coding problems for the student, it guides them through hints, conceptual questions, complexity analysis, and personalized feedback to encourage independent problem-solving.
- π§ Socratic Teaching Approach
- π‘ Intelligent Hint Generation
- π Time & Space Complexity Analysis
- π Step-by-Step Guidance
- π€ Multi-Agent Workflow
- π Code Review Assistance
- π Personalized Learning Experience
- π― Interview Preparation Support
Python
LangChain
LangGraph
LLMs
Prompt Engineering
AI Agents
An AI-powered personalized study assistant designed to help students learn smarter through planning, revision, and AI-generated educational resources.
Studdy-Buddy is a complete AI learning platform that generates customized study schedules, quizzes, flashcards, and revision materials while keeping track of student progress. It integrates Google's Gemini API to provide intelligent academic assistance.
- π Personalized Study Planner
- π PDF Reader
- π AI Quiz Generator
- π§ Flashcard Generator
- π€ AI Chat Assistant
- π Progress Tracker
- πΎ SQLite Database
- π Smart Learning Recommendations
Python
Flask
Gemini API
SQLite
HTML
CSS
A Machine Learning project implementing face recognition using Principal Component Analysis (Eigenfaces) and Artificial Neural Networks.
This project demonstrates how dimensionality reduction and neural networks can be combined to build an efficient face recognition system. It focuses on preprocessing facial datasets, extracting Eigenfaces using PCA, and classifying identities with an Artificial Neural Network.
- π· Face Detection
- π Face Recognition
- π§ PCA (Eigenfaces)
- π€ ANN Classification
- π Image Processing Pipeline
- π Model Evaluation
- π Dataset Preprocessing
- β‘ Fast Recognition
Python
OpenCV
NumPy
PCA
Artificial Neural Networks
Machine Learning
A continuously growing repository containing optimized solutions for LeetCode and NeetCode problems with clean implementations and explanations.
This repository documents my daily DSA journey while preparing for software engineering interviews. Every solution emphasizes readability, optimization, and understanding rather than simply passing test cases.
- Solve 500+ DSA problems
- Maintain consistent daily coding
- Prepare for technical interviews
- Master problem-solving patterns
Python
Data Structures
Algorithms
Problem Solving
| π Organization | π Certification | Status |
|----------------|------------------|:------:|
| IIT Bombay (Spoken Tutorial) | C Programming (100%) | β
|
| IIT Kharagpur (NPTEL) | Programming in Modern C++ | β
|
| IIT Roorkee (NPTEL) | Fundamentals of Object Oriented Programming | β
|
| IBM | AI Foundations | β
|
| IBM | Web Development Fundamentals | β
|
| Udemy | Complete Python Bootcamp | β
|
| Forage | Data Visualisation Virtual Experience Program | β
|
- π Build production-ready AI applications
- π€ Master AI Agent Architectures
- π Solve 500+ LeetCode problems
- βοΈ Learn Cloud Deployment
- ποΈ Master System Design
- π Contribute to Open Source
- πΌ Secure an AI/Backend Engineering Internship
- π Publish technical blogs on AI & Backend Development
π§ Building AI Agents
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βοΈ Backend Engineering
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π Data Structures & Algorithms
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βοΈ Cloud & Deployment
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π€ Machine Learning
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"The best way to learn is by building real-world projects that solve real problems."
I believe that practical experience is the strongest teacher. Every project I build is an opportunity to improve my problem-solving skills, write cleaner code, and explore emerging technologies.
I'm always interested in collaborating on projects involving:
- π€ Artificial Intelligence
- π§ Large Language Models
- βοΈ Backend Development
- π REST APIs
- π Machine Learning
- π» Open Source
- π AI Agent Systems
Feel free to connect if you're working on something exciting!
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