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The proposed system deals with development of defence robotics technology.
Here, we employ the usage of embedded systems comprising microcontrollers along with a wide range
of sensors in order to acquire high precision data output. It is a semi-autonomous robot with long-distance control,
attack, espionage, and feedback capabilities.
This project represents a new approach in the domain
of defence and obliteration.
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Monthly expenditure analysis using Data Science.
This project uses numpy, pandas, seaborn, and matplotlib libraries
to build a model that analyzes spending categories, amounts, balances,
and purchase dates. The data, collected from bank statements, is visualized using PowerBI.
Steps performed to implement the model:
1. Collected data on expenditures, such as amount spent, category, and date.
2. Uploaded the data into a Python environment using the Pandas library.
3. Performed exploratory data analysis to understand the data and its distribution.
4. Visualized the data to identify patterns and relationships.
5. Performed feature engineering to extract relevant information.
6. Pre-processed the data by dropping irrelevant columns and encoding categorical variables.
7. Split the data into training and testing sets.
8. Built and trained a regression model using the Random Forest algorithm.
9. Evaluated model performance using metrics such as Root Mean Squared Error.
10. Used the model to predict expenditure amounts for new data points.
This project uses a combination of libraries like keras, imutils, pickle, pandas along with OpenCV to create a home security system. Developed in Python, it features a 4K HDR camera for identifying threats under various lighting conditions. The system sends live streams to nearby police stations and emergency contacts. Future developments aim to integrate defensive measures to mitigate threats.
Cube Satellite for Atmospheric Data Collection
The project involves designing, building, and deploying a Cube Satellite (CubeSat) engineered to gather vital data on atmospheric
conditions within the troposphere, the lowest layer of Earth's atmosphere. The CubeSat will leverage advanced sensors and communication
technologies to perform the following key functions: