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Sayalimoon16/README.md

Hi 👋, I'm Sayali Moon

AI/Data Science Intern | Machine Learning | NLP | Computer Vision | GenAI

👩‍💻 About Me

  • 🤖 AI/Data Science Intern with hands-on experience in ML & GenAI projects
  • 📊 Worked on large-scale datasets (2M+ records)
  • 🚀 Built end-to-end AI systems using Flask, Streamlit & FastAPI
  • 🧠 Strong in EDA, Feature Engineering, Model Evaluation & Deployment

🚀 What I Do

🧠 Machine Learning

  • End-to-end ML pipelines
  • Model training & evaluation
  • Feature engineering
  • Hyperparameter tuning
  • Model deployment

📊 Data Analysis

  • Exploratory Data Analysis
  • Data visualization
  • Statistical analysis
  • Data preprocessing
  • Insight generation

🤖 Deep Learning

  • Neural networks
  • CNN, Transformers
  • Transfer learning
  • Model optimization
  • Computer vision & NLP

🐍 Python Development

  • Automation scripts
  • Data pipelines
  • API development (FastAPI)
  • Backend services
  • Tool building

⚙️ Deployment & Tools

  • Flask & Streamlit
  • FastAPI applications
  • Git & version control
  • Jupyter Notebook

📊 Data Projects

  • Large dataset handling
  • GenAI & RAG systems
  • Dashboard development
  • Business insights

🚀 Featured Projects

🤖 AI-Powered RAG System (Legal & Medical Q&A)

  • Built GenAI + RAG system for document-based question answering
  • Used embeddings, vector databases & LLM pipelines
  • Implemented retrieval + generation workflow for accurate responses

📊 AI Business Intelligence System

  • Built AI system for data analysis, insights & decision-making
  • Integrated ML models for prediction and trend analysis
  • Developed modular architecture with real-time outputs

🧠 AI News Event Clustering & Timeline Builder

  • Processed 2M+ news articles dataset
  • NLP preprocessing + MiniBatch KMeans clustering
  • Built interactive Streamlit dashboard

🎯 YOLOv8 Real-Time Object Detection

  • Real-time object detection using webcam
  • Bounding boxes, labels & confidence scores
  • Optimized inference performance

🛠️ Tech Stack

📜 Certifications

  • Certified Data Scientist – IABAC (2026–2029)
  • Artificial Intelligence Engineer – NASSCOM FutureSkills Prime (2026)
  • AI Expert (AIE) – Datamites (2025–2026)
  • Artificial Intelligence Expert – IABAC (2026)
  • Data Science Foundation – IABAC (2026)
  • ERP Training Completion Certificate (2026)
  • Zoho Creator Workshop (2024)
  • Full Stack Development (2023)

📊 GitHub Analytics

📫 Connect With Me

⭐ If you find my work interesting, feel free to explore and connect!

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…

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  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…

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  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 …

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  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…

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  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…

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