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Sayalimoon16/README.md

Hi 👋, I'm Sayali Moon

AI & Data Science Enthusiast | Machine Learning | Deep Learning | Computer Vision

👩‍💻 About Me

  • 🎓 B.Tech Computer Technology Graduate
  • 🤖 AI & Data Science Practitioner
  • 🧠 Skilled in Machine Learning, Deep Learning & Computer Vision
  • 🚀 Experience building ML/DL models & deploying apps using Flask & Streamlit
  • 📊 Strong in EDA, Feature Engineering & Model Evaluation

🛠️ Technical Skills

Languages: Python, SQL
ML/DL: Machine Learning, Deep Learning, CNN, YOLOv8, NLP, Computer Vision
Libraries: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, OpenCV
Tools: Jupyter, Git, Flask, Streamlit, Google Colab
Concepts: EDA, Feature Engineering, Model Evaluation, Deployment

🚀 Featured Projects

🧠 AI News Event Clustering & Timeline Builder

  • Processed 2M+ news articles for automated event detection
  • NLP preprocessing + MiniBatch KMeans clustering
  • Built Streamlit dashboard with timelines

🫁 Lung Cancer Detection

  • Medical dataset preprocessing & feature engineering
  • Trained Logistic Regression, Random Forest, SVM
  • Evaluated with ROC-AUC, Precision, Recall

🎯 YOLOv8 Real-Time Object Detection

  • Real-time detection via webcam
  • Bounding boxes & confidence scores
  • Optimized inference speed

🌾 Rice Leaf Disease Detection (CNN)

  • Image preprocessing & augmentation
  • CNN multi-class classification
  • Accuracy improvement via tuning

📜 Certifications

  • Artificial Intelligence Expert – IABAC (2026)
  • Data Science Foundation – IABAC (2026)
  • Zoho Creator Workshop
  • Full Stack Development
  • Coursera: Python & Databases

📫 Connect With Me

📊 GitHub Stats

⭐ From Sayali Moon

Popular repositories Loading

  1. AI-Based-Smart-Exam-Proctoring-Suspicious-Activity-Detection-System AI-Based-Smart-Exam-Proctoring-Suspicious-Activity-Detection-System Public

    Developed an AI-based smart exam proctoring system using computer vision to detect suspicious activities such as multiple persons, mobile usage, and face absence, and generated automated exam integ…

    Jupyter Notebook 1

  2. lung_cancer_detetion lung_cancer_detetion Public

    Project Description: Lung cancer is one of the leading causes of cancer-related deaths worldwide. Early detection can significantly improve survival rates. This project focuses on building an imag…

    Python

  3. csv_file_dtect_lung_cancer csv_file_dtect_lung_cancer Public

    Lung Cancer Detection using Machine Learning and Feature Engineering This project focuses on predicting lung cancer likelihood using a structured dataset (.csv format) through machine learning and …

    Python

  4. Rice-leaf-detection Rice-leaf-detection Public

    To develop an automated system that classifies rice leaf diseases using image processing and CNN. To improve accuracy and efficiency of disease detection compared to manual inspection. To create a …

    Jupyter Notebook

  5. YOLOv8-Real-Time-Object-Detection-using-Webcam YOLOv8-Real-Time-Object-Detection-using-Webcam Public

    This project demonstrates real-time object detection using the YOLOv8 (You Only Look Once) model and a webcam feed. It uses the COCO pretrained model which can detect 80+ objects such as Person, La…

    Python

  6. Fynd-AI-Intern-Assignment Fynd-AI-Intern-Assignment Public

    Task 1 Notebook: task1_prompting.ipynb — Implements 3 different prompting strategies for Yelp rating prediction, along with evaluation of accuracy, JSON validity, and consistency. Prompts Folder: C…

    Jupyter Notebook