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AI and ML
🎯
AI and ML
3 followers · 2 following

Achievements

Achievement: YOLOAchievement: Galaxy BrainAchievement: QuickdrawAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: Galaxy BrainAchievement: QuickdrawAchievement: Pull Shark

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itz-Mayank/README.md

👋 Hi there, I'm Mayank Meghwal

github contribution grid snake animation

Typing SVG

👨🏻‍💻 About Me → Portfolio ↗

A professional animation coder gif

B.Tech in Computer Science | Engineering College Ajmer
Passionate Data Scientist & AI Engineer specializing in Machine Learning, Deep Learning, NLP, and LLMs
Love working on AI-powered applications, MLOps pipelines, and full-stack development
Winner - MNIT Jaipur Hackathon 2024 | Finalist - Smart India Hackathon 2024
Exploring AI for social good, data-driven decision-making, and intelligent automation

💼 What I’m Currently Working On

  • AI-Powered Personal Assistant using LLMs, LangChain & Speech Recognition
  • Deepfake Detection using CNN, RNN, and Adversarial Learning
  • MLOps Pipelines with Docker, Kubernetes, Streamlit & Azure
  • Flutter Apps for productivity and focus improvement

💻 Skills & Tools

Programming & Core Concepts

Python C++ SQL OOP

Machine Learning / AI

TensorFlow PyTorch Keras Scikit-learn NLP LLMs

Data Science & Visualization

Pandas NumPy Matplotlib Seaborn PowerBI Tableau

MLOps / Deployment

Docker Kubernetes Streamlit Azure AWS GitHub Actions CI/CD

Full-Stack Development

Flutter Kotlin React NodeJS Express MongoDB MySQL

🧩 Featured Projects

🔹 Network Security
⇀ This project is a production-ready Network Security ML pipeline that automates data ingestion, validation, transformation, model training, evaluation, and deployment using MLOps best practices. It ensures quality, handles drift, selects the best model, and deploys the system on AWS using Docker and CI/CD.

🔹 Face Liveness Detection
⇀ Implemented a CNN-based multimodal biometric authentication model using TensorFlow, OpenCV, and dlib with facial landmark extraction. Achieved 97.8% spoof detection accuracy and reduced inference latency by 18% via optimized preprocessing pipeline.

🔹 Chest X-Ray Diagnostics
⇀ Trained a ResNet50 transfer learning model on 10,000+ X-ray images with augmentation and fine-tuning strategies. Achieved 96.7% accuracy and deployed optimized TensorFlow Lite inference via Streamlit on Azure for real-time classification.

🏆 Achievements

  • Winner – MNIT Jaipur Hackathon 2024
  • Smart India Hackathon Finalist 2024
  • Certified in Advanced Programming & Data Science – IITM Pravartak
  • Data Science Intern – Infotact Solutions (2024)

🌐 Connect With Me

LinkedIn Gmail GitHub


gifgithub


GitHub Streak
Profile Views

💡 “Turning data into intelligence and ideas into innovation.”

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  1. AI_Agent_Data_Parser AI_Agent_Data_Parser Public

    This project contains a coding agent that automatically generates, tests, and self-fixes a Python parser for bank statement PDFs using the Google Gemini API.

    Python 2

  2. AI_Attendance_Management AI_Attendance_Management Public

    A web-based face attendance system that uses the webcam to capture a real-time image, recognizes faces using pre-saved encodings, and logs attendance with timestamps into a CSV file.

    HTML 2

  3. Bank_Term_Deposit_Subscription_Prediction Bank_Term_Deposit_Subscription_Prediction Public

    Banks often struggle to predict which clients are likely to subscribe to a term deposit offer. The objective is to create a binary classification model that accurately predicts whether a client wil…

    Jupyter Notebook 2

  4. Chest-X-Ray-Diagnostics Chest-X-Ray-Diagnostics Public

    Rapid and accurate diagnosis of COVID-19 from chest X-ray images can significantly improve patient outcomes and relieve stress on healthcare resources. In this project, the task is to build a multi…

    Jupyter Notebook 2

  5. ml_project1 ml_project1 Public

    This project predicts students’ math performance based on demographic and academic attributes such as gender, parental education, lunch type, test preparation, and reading/writing scores.

    Jupyter Notebook

  6. ML_Project_2 ML_Project_2 Public

    This project is a production-ready Network Security ML pipeline that automates data ingestion, validation, transformation, model training, evaluation, and deployment using MLOps best practices. It …

    Python