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Artificial Intelligence Engineer | Data Engineer L1
😎
Artificial Intelligence Engineer | Data Engineer L1
185 followers · 8 following

Achievements

Achievement: Arctic Code Vault ContributorAchievement: StarstruckAchievement: Pull Sharkx2

Achievements

Achievement: Arctic Code Vault ContributorAchievement: StarstruckAchievement: Pull Sharkx2

Highlights

Organizations

@opensourcedesign @fossasia @NVIDIAGameWorks @iiitv @dwyl @firstcontributions @Ctrl-Alt-Contributors @developer-student-club-mait @Share-Split

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prateeksawhney97/README.md

👨‍💻 Prateek Sawhney: AI Engineer | Data Scientist | Data Engineer

LinkedIn - https://www.linkedin.com/in/prateek-sawhney-a0b134131/

Medium - https://sawhney-prateek97.medium.com/

Hey there! Welcome to my GitHub profile! I'm an Artificial Intelligence Engineer and Data Engineer with a passion for creating innovative solutions in Machine Learning, Computer Vision, and Natural Language Processing. Whether it's building powerful AI models or creating data engineering pipelines or solutions, I'm always working on projects that make an impact.

I also teach Artificial Intelligence concepts through my LinkedIn Learning courses, sharing knowledge with a wide community of learners.

Key Projects

  1. [Behavioral Cloning of Self Driving Car]
    Description: In this project, I designed and trained a Convolutional Neural Network (CNN) to mimic human driving behavior using a Unity-based driving simulator. The model learns by observing and clones driving behavior, enabling a self-driving car to navigate complex roads autonomously. From data collection to real-time decision-making, this project showcases the power of AI in the future of autonomous vehicles! 🚗💡

  2. [Advance Lane Finding]
    Description: In this project, I implemented advanced image processing techniques to accurately detect lane lines, no matter the road texture, lighting, or curves. By using image warping and a sliding window approach, the system reliably identifies lane boundaries. Additionally, I calculated the real curvature of the lane and determined the vehicle’s position relative to the center for enhanced driving precision. 🚗🔍

Explore more projects in my GitHub Repositories.

My Courses on LinkedIn Learning

Learn more by visiting my LinkedIn Profile.

Get in Touch!

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  1. Self-Driving-Car Self-Driving-Car Public

    Implemented a Convolutional Neural Network for end-to-end driving in a simulator using Tensorflow and Keras. The project involves training over 13,000 images in a unity3d simulator to steer the car…

    Python 28 9

  2. Behavioral-Cloning-Project-P4 Behavioral-Cloning-Project-P4 Public

    Behavioral Cloning Project for Self-Driving Car Nano Degree Term 1. The project includes designing a neural network and then training the car on the road in unity simulator. The CNN learns and clon…

    Python 24 11

  3. Detecting-Lane-Lines-P1 Detecting-Lane-Lines-P1 Public

    Lane Finding Project for Self-Driving Car Nano Degree Term 1. Road Lane Lines are detected by using various image processing techniques like Grayscale, Blurring, Canny Edge Detection, Hough Transfo…

    Jupyter Notebook 16 3

  4. Advanced-Lane-Finding-P2 Advanced-Lane-Finding-P2 Public

    Advanced Lane Detection Project which includes advanced image processing to detect lanes irrespective of the road texture, brightness, contrast, curves etc. Used Image warping and sliding window ap…

    Jupyter Notebook 14 4

  5. People-Counter-Application-Using-Intel-OpenVINO-Toolkit People-Counter-Application-Using-Intel-OpenVINO-Toolkit Public

    The people counter application demonstrates how to create a smart video IoT solution using Intel® hardware and software tools. The app will detect people in a designated area, providing the number …

    JavaScript 21 10

  6. Dog-Breed-Classification-Project-Using-Flask Dog-Breed-Classification-Project-Using-Flask Public

    Dog Breed classifier project of the Data Scientist Nanodegree by Udacity. A Web Application is developed using Flask through which a user can check if an uploaded image is that of a dog or human. A…

    HTML 17 4