Pinned Repositories
Student-Result-Management-System
Done using ReactJS, NodeJS, ExpressJs, MySQL
A-Voice-Based-Health-Assistant-FANISU
A voice enabled health assistant webapp that gives a quick-fix/remedy based on the voice input.
IoT-Based-Smart-Bin
Notes-App-using-React.js
Object-Detection-using-OpenCV-and-Keras
This project demonstrates real-time object recognition using the ResNet50 deep learning model and OpenCV. The ResNet50 model, pre-trained on the ImageNet dataset, is used to predict object classes from video frames captured by a webcam or from a video file.
Zoo-Don
A Website for donating to Wildlife Organizations
A-CRUD-API-using-Node.js-Express-and-MongoDB
A CRUD API that can be used in any webpage that uses MongoDB as the database.
Bookmark-functionality
a Bookmark functionality with secure login and registration
Chatbot-for-VC
A simple Chatbot which uses the json data for context
Login-functionality
Farhaan114's Repositories
Farhaan114/LumiSync-Home-Automation
Farhaan114/Chatbot-for-VC
A simple Chatbot which uses the json data for context
Farhaan114/User-Review-Functionality
Farhaan114/Bookmark-functionality
a Bookmark functionality with secure login and registration
Farhaan114/Login-functionality
Farhaan114/Public-hosting-testing
Farhaan114/Notes-App-using-React.js
Farhaan114/Zoo-Don
A Website for donating to Wildlife Organizations
Farhaan114/A-Voice-Based-Health-Assistant-FANISU
A voice enabled health assistant webapp that gives a quick-fix/remedy based on the voice input.
Farhaan114/Student-Result-Management-System
Done using ReactJS, NodeJS, ExpressJs, MySQL
Farhaan114/IoT-Based-Smart-Bin
Farhaan114/portfolio_example
Farhaan114/A-CRUD-API-using-Node.js-Express-and-MongoDB
A CRUD API that can be used in any webpage that uses MongoDB as the database.
Farhaan114/Object-Detection-using-OpenCV-and-Keras
This project demonstrates real-time object recognition using the ResNet50 deep learning model and OpenCV. The ResNet50 model, pre-trained on the ImageNet dataset, is used to predict object classes from video frames captured by a webcam or from a video file.