Anwesa Panda

Language of Implementation: Python, Machine Learning techniques, HTML, CSS, React

Tools used: Jyupitor Notebook, VS Code

Scope of the project: The system uses machine learning techniques such as LSTM model and Random forest to detect anomaly in user behaviour and detect suspicious fraudulant transactions.

Tools used: Microcontroller, IOT ,sensor, Arduino Uno, TinkerCAD

Scope of project: The system segregates wet and dry waste as well as biodegradable and non biodegradable waste by sensing water containt level and decomposition levels of the waste product.

Language od implementation: Python

Tools used: Jupyter Notebook

Scope of the project: The project focuses on employee data transformation and analysis using Pandas library in Python. Iapplied data cleaning and processing steps to organize the information, followed by the use of pivot tables for summarization and aggregation.