π B.Tech Artificial Intelligence & Data Science (Final Year)
π€ Building AI-powered applications & ML solutions
π Passionate about Data Science, AI Engineering & Software Development
- π Currently building Machine Learning & AI-powered applications
- π± Learning Advanced ML, Deep Learning, System Design & DSA
- π‘ Interested in Data Science | AI Engineering | Full Stack Development
- π― Open to internships, collaborations & open-source projects
- β‘ Turning ideas into real-world applications
π Live: https://smart-assessment.onrender.com/
π GitHub: https://github.com/deepakjha018/smart-assessment
AI-powered Django quiz and assessment platform with:
- User Authentication
- Category-based quizzes
- Smart evaluation system
- Dashboard management
Tech Stack:
Python Django Machine Learning HTML CSS
π Live: https://garbage-classifier-vk18.streamlit.app/
π GitHub: https://github.com/deepakjha018/Garbage_Classifier_Project
Deep Learning based waste classification system using Computer Vision.
Features:
- Image Classification
- Transfer Learning
- Real-time prediction dashboard
Tech Stack:
Python TensorFlow MobileNetV2 Streamlit
π Live: https://fake-news-detection-vk18.streamlit.app/
π GitHub: https://github.com/deepakjha018/Fake-News-Detection
Machine Learning system that detects fake news articles using Natural Language Processing.
Features:
- Text preprocessing
- TF-IDF Vectorization
- ML Classification Models
- Prediction Web App
Tech Stack:
Python NLP Scikit-Learn Streamlit
π Live: https://customer-churn-predictor-vk18.streamlit.app/
π GitHub: https://github.com/deepakjha018/Customer-Churn-Prediction
Customer churn prediction dashboard using Machine Learning.
Tech Stack:
Python Pandas Scikit-Learn Streamlit
π Live: https://employee-salary-prediction-vk18.streamlit.app/
π GitHub: https://github.com/deepakjha018/employee-salary-prediction
ML application predicting salary category from demographic information.
Tech Stack:
Python Machine Learning Streamlit
- Machine Learning
- Deep Learning
- Natural Language Processing
- Computer Vision
- Data Analysis
Libraries:
NumPy
Pandas
Scikit-Learn
TensorFlow
Matplotlib
HTML
CSS
React
Django
FastAPI
Flask
Streamlit
MySQL
MongoDB
Git
GitHub
VS Code
Jupyter Notebook
Postman
π IBM SkillsBuild Internship
π Infosys Springboard Virtual Internship 6.0
βοΈ Google Cloud Arcade Program Participant
β NPTEL Programming in Java - 94/100
Portfolio:
https://deepak-portfolio-gamma-nine.vercel.app/
LinkedIn:
www.linkedin.com/in/deepak-kumar-jha-a64855328
Email:
"Code with purpose. Build with passion. Learn endlessly."
β Deepak Kumar Jha