Discover hasnainnaeem/Mood-Detector-and-Enhancer Open Source project

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Created over 6 years ago
Updated over 5 years ago

hasnainnaeem

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Artificially Intelligent software to detect user's mood based on the text entered. After that it entertains user based on his/her mood. In case of happy mood, it asks for reason and saves that. When user is not happy it suggests user about activities which made him/her happy previously. Moreover, it has a diary option which stores good experiences of life and then displays to user in case of unhappiness.

Violence-Detection-in-Videos

Violence detection in videos using Deep Learning (CNNs + LSTMs). 98.5% video accuracy and 97.81% frame level accuracy (with threshold=3) was achieved through the proposed model by Joshua on HockeyFight dataset. Joshua's project was extended with real-time predictions on video feed coming from camera. Moreover, notebook is added to easily setup and run code on Google Colab.

Python

Gunshot-Detection-in-Audio

Audio classification deep learning model using TensorFlow 2.0 to detect Gunshots. 97.5% test set accuracy and 99% training set accuracy was achieved on Binary-Urban8K. This work was done during my summer internship at TUKL-NUST lab.

Jupyter Notebook

Product-Manager

NodeJS powered product managing website created for learning purposes. It has admin, buyer and seller panels created using ExpressJS on server-side and Jquery for client-side.

JavaScript

EPatwari

Blockhain and MYSQL based immutable and decentralized storage for secure data storage and mining.

Java