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neelabhsinha/README.md

Hi there


I am Neelabh Sinha, an aspiring software developer and artificial intelligence enginner born and brought up in Patna, Bihar, India. I love to work on technologies involving Back-end Development, Full-stack Development and also in the field of AI with projects involving Machine Learning, Computer Vision, Natural Language Processing, etc. Looking forward to work with some great developers and enginners on exciting projects in various domains, and learn new things.

For complete details about me, visit my website https://neelabhsinha.github.io

Technologies & Tech-Stack


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You can also find me on Twitter, or on LinkedIn. Happy Coding!

Pinned

  1. News-text-Classification-Based-on-Weighted-LSTMs News-text-Classification-Based-on-Weighted-LSTMs Public

    This repository contains a project which aims to solve the problem of text classification using a novel technique of weighted RNNs.

    Jupyter Notebook

  2. Private-Chat-Application-using-MongoDB-and-Socket.io Private-Chat-Application-using-MongoDB-and-Socket.io Public

    This repository contains a fully functional private chat application using MongoDB, Socket.io and Express that supports real-time chatting and also allows to retrieve chat when logged in later

    JavaScript 35 16

  3. Drowsiness-Detection-in-Drivers-using-Deep-Learning Drowsiness-Detection-in-Drivers-using-Deep-Learning Public

    This repository contains the files related to the project on frame-by-frame Drowsiness Detection in Drivers in videos using facial features.

    Jupyter Notebook 8

  4. Leakage-Detection-in-Smart-Water-Distribution-Systems Leakage-Detection-in-Smart-Water-Distribution-Systems Public

    This repository contains the coding aspect of the project Leakage Detection in Smart Water Distribution Systems, where the collected data is used for training an ANN model to detect leakage.

    Jupyter Notebook 6 3

  5. Food-Dishes-Classification-using-Deep-Learning Food-Dishes-Classification-using-Deep-Learning Public

    This repository contains work on Food Dishes Classification from Images, using a truncated version of Food-101 dataset, having 20 categories, using Keras API of TensorFlow in Python.

    Jupyter Notebook 1

  6. flame flame Public

    Original Pytorch Implementation of FLAME: Facial Landmark Heatmap Activated Multimodal Gaze Estimation

    Python 23 2