See my projects which are completed and in progress. Feel free to give suggestions and ask questions.
Semi-Autonomous Delivery Drone
A Hexa rotor flying machine (UAV) capable of lifting a package from a place transporting and dropping it to another location using ‘Way Point’ flying technology using Global Positioning System. Using custom 3D printed mechanical parts and arms, the package can be picked up and dropped off upon arriving on the destination.
Fake News Detection Using Machine Learning Ensemble Methods
The rise of false information in everyday access media venues like social media feeds, news blogs, and online newspapers has made it difficult to identify reliable news sources, necessitating the development of computer algorithms that can assess the authenticity of online content. We focus on the automatic detection of false information in internet news in this research. We make a two-fold contribution. First, we present two new datasets for the purpose of detecting fake news, each of which covers seven different news categories. We give many explanatory analyses on the identification of linguistic discrepancies in false news content, as well as a detailed description of the collecting, annotation, and validation procedure. Second, we run a series of learning experiments in order to develop reliable fake news detectors. Furthermore, we
presented comparisons of the automatic and manual detection of fake news.
Smart Electric Bicycle (App Controlled)
Autonomous Toy car (Raspberry Pi, Nvidia Jetson, Yolo, open CV, Tensorflow, Python)
An Autonomous Toy car powered by raspberry pi 4.
sensor used- Radar, Nvidia Jetson Lidar
Technology- Tensorflow, Pi torch, Python, Open Cv- yolo, deep learning)
Stock Analysis using Python, LSTM model
Stock price Analysis is a machine learning project; in this Project, we developed a stock cost prediction model and build an interactive dashboard for stock analysis. We implemented stock market prediction using the LSTM model. OTOH, Plotly dash python framework for building dashboards.
To build the stock price prediction model, I used the NSE TATA GLOBAL dataset. This is a dataset of Tata Beverages from Tata Global Beverages Limited, National Stock Exchange of India To develop the dashboard for stock analysis I used another stock dataset with multiple stocks like Apple, Microsoft, Facebook
IoT: Smart Home with Voice Control System
Smart home with traditional home appliances.