π B.Tech CSE Student
π€ Passionate about Artificial Intelligence & Machine Learning
π± Currently Building RAG-based AI Applications
π» Strong in Python, SQL and Machine Learning
π Learning Deep Learning, NLP and MLOps
π― Goal: Become an AI Engineer
β‘ Fun Fact: I enjoy solving real-world problems using AI.
- Scikit-Learn
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Streamlit
β Upload PDF
β Semantic Search
β AI Question Answering
β ChromaDB
β LangChain
β Gemini API
β Streamlit
- Machine Learning Classification
- Data Cleaning
- Feature Engineering
- Random Forest
- Streamlit Deployment
- Scikit-Learn
- Classification
- Model Training
- Prediction App
π€ Resume Screening AI
π§ AI Interview Assistant
π Stock Price Prediction
π©Ί Medical Diagnosis AI
π NPTEL - Introduction to Industry 4.0
π Android Development Internship
π AI/ML Projects
πΉ AI Engineering
πΉ Machine Learning
πΉ Deep Learning
πΉ NLP
πΉ RAG Applications
πΉ MLOps
"The best way to predict the future is to build it."
