🎓 Undergraduate Student at the Indian Institute of Science Education and Research, Bhopal (IISERB)

🚀 Passionate about Artificial Intelligence, Machine Learning, and Data Analytics
🔍 Constantly exploring the power of data and intelligent systems to build impactful solutions

I'm an AI enthusiast with a deep curiosity for solving real-world problems using Machine Learning, Deep Learning, and Data Analytics. I enjoy building smart applications, exploring cutting-edge research, and turning raw data into actionable insights.

My projects often blend:

• 🤖 Artificial Intelligence
• 📊 Data Analytics & Visualization
• 🧬 Machine & Deep Learning
• 🌐 Web-based ML Applications
• 🧩 End-to-End ML Pipelines

• Languages: Python, JavaScript, SQL
• AI/ML: Scikit-Learn, TensorFlow, PyTorch, XGBoost, Hugging Face
• Data: Pandas, NumPy, Matplotlib, Seaborn, Plotly
• Web: FastAPI, Flask, Dash, Supabase, Streamlit
• Tools: Jupyter, VSCode, Git, Docker, Postman
• Cloud & Deployment: Google Colab, Supabase

• 🧠 Alzheimer's Type Prediction
  Deep learning-based CNN to classify Alzheimer’s disease types from brain scan images.

• 🛻 NYC Taxi Fare Prediction
  Regression model using ANN and XGBoost with advanced geospatial feature engineering.

• 🎙️ Podcast Listening Time Predictor
  Time-series regression with stacked models to forecast podcast listening time from audio/metadata.

• 📷 Smart Image Describer
  A web-based app combining OpenCV, object detection CNNs, and Hugging Face captioning models.

• 📊 AI-Powered Dashboards
  Natural language-driven dashboard generator using GPT, Dash, and SQL for BI automation.

• LLM Integration for Custom Applications
• Advanced Computer Vision Techniques
• Time Series Forecasting
• Cloud ML Ops (GCP, AWS)

• 💼 [LinkedIn]
• 🧠 [GitHub]
• 📝 [Portfolio Website]

"The future of AI is not about replacing humans, it's about augmenting human capabilities." -Sundar Pichai (CEO Alphabet Inc)