devendra = {
"name" : "Devendra Choudhary",
"location" : "Jaipur, Rajasthan, India ๐ฎ๐ณ",
"education" : "B.Tech CSE โ AI & ML Specialization @ JECRC University",
"cgpa" : "8.68 / 10",
"focus" : ["End-to-End ML Systems", "NLP", "Computer Vision", "Deep Learning"],
"currently" : "Building production-ready AI solutions with real-world impact",
"fun_fact" : "I built a fake news detector that uses 5 ML models + Groq AI ๐ก๏ธ"
}๐ก๏ธ Credible2.0
Hybrid Fake News Detection Platform
A dual-engine AI platform that combines 5 ML classifiers with Groq AI (Llama 3.3 70B) to detect fake news with explainable verdicts, source citations, and real-time web fact-checking.
| Feature | Details |
|---|---|
| ๐ง ML Engine | Weighted Voting Ensemble โ LR, RF, NB, GBC, LinearSVC |
| ๐ Dataset | WELFake โ 72,134 articles from 4 diverse sources |
| ๐ฏ Accuracy | 96.78% ensemble accuracy |
| ๐ค AI Fallback | Groq API (Llama 3.3 70B) for low-confidence & short claims |
| ๐ก Explainability | Reasoning output + red-flag detection + source citation |
| ๐ฅ๏ธ Frontend | Streamlit dashboard with radar chart, gauge, donut charts |
Python Scikit-learn TF-IDF Streamlit Groq API Plotly WELFake
๐ Basics-Of-Python
Hands-On Python Fundamentals
Stop Googling "how to code" and start doing it! A practical, hands-on guide to the Python language โ from scripting basics to data science foundations. Whether you're automating boring tasks or prepping for ML, these notebooks have you covered.
Jupyter Notebook Python Data Science Automation
๐๏ธ Object-Oriented-Programming
OOP in Python โ Structured & Comprehensive
A structured collection of Object-Oriented Programming implementations in Python, exploring the foundational pillars โ Encapsulation, Inheritance, Polymorphism, and Abstraction โ with clean, well-commented examples.
Jupyter Notebook Python OOP Design Patterns
โ๏ธ Functions
Mastering Python Functions โ The Building Blocks
A dedicated space for mastering Python functions before diving into complex AI models and neural networks. Covers everything from basic definitions to decorators, closures, and higher-order functions.
Jupyter Notebook Python Functional Programming
Secure File I/O & Robust Exception Handling
A comprehensive collection of Python implementations focused on secure File I/O and robust Exception Handling. Demonstrates clean coding practices, resource management using context managers, and production-grade error handling patterns.
Jupyter Notebook Python File I/O Error Handling
AI Intern @ IntersElite (Oct 2023 โ Dec 2023)
- ๐ Built a Stock Analysis platform using AutoTS & yfinance API on 2 years of historical data
- ๐ฌ Classified Flipkart product reviews (positive/negative/neutral) using NLTK VADER sentiment analysis
B.Tech, CSE โ AI & ML Specialization JECRC University, Jaipur, India | Expected May 2027 | CGPA: 8.68 / 10
| Platform | Link |
|---|---|
| ๐ง Email | dchoudhary10102005@gmail.com |
| ๐ผ LinkedIn | devendra-choudhary-dc101005 |
| ๐ GitHub | DevendraChoudhary1005 |
| ๐ Location | Jaipur, Rajasthan, India |
"Building AI that doesn't just predict โ but explains."