Vikas Verma's repositories
Attendance-System
To develop and implement an Automated Face Recognition-Based Attendance System, leveraging my expertise in computer vision, Flask and machine learning, to enhance accuracy and efficiency in attendance management processes.
Smart-Street-Light
Smart street lights with Arduino, IR sensors, and LEDs adjust brightness based on motion detection, optimizing energy use for safety and sustainability.
3D-Printing
A 3D printer turns digital ideas into real objects by building up thin layers of material, like plastic. It's easy to use, letting you create toys, tools, and more at home. Just design on a computer, send it to the printer, and watch your creation come to life!
Air_Quality_Monitoring_System
Arduino-powered air quality monitor with MQ135 sensor and LCD screen. Detects pollutants like CO2, NH3, benzene for quick assessment. Cost-effective solution for indoor/outdoor monitoring, promoting healthier environments.
Arduino_Snake_Game
Arduino snake game: Navigate the snake using a joystick, collecting food and avoiding collisions. Enjoy classic arcade fun with interactive control on a microcontroller platform.
Automatic_Car_Parking_System
The Automatic Car Parking System is a project designed to efficiently manage parking spaces using Arduino, IR sensors, an LCD display, breadboard, and jumper wires. The system is programmed to detect the presence of cars in parking slots and display the number of available slots in real-time on the LCD display.
Car-Price-Prediction
The goal of this project is to create an efficient and effective model that will be able to predict the price of a used car by using the Decision Tree Regressor algorithm with better accuracy.
Diamond-Price-Prediction
Gemstones like diamonds are always in demand because of their value in the investment market. So this project makes it very important for diamond dealers to predict its price.
Heart-Attack-Prediction
Data Science and machine learning (ML) can be very helpful in the prediction of heart attacks in which different risk factors like high blood pressure, high cholesterol, abnormal pulse rate, diabetes, etc... can be considered. The objective of this study is to optimize the prediction of heart disease using Machine Learning Models.
RFID-Door-Lock-System
An RFID door lock system uses RFID technology for access. Users have RFID cards/tags with unique IDs. When presented, the system verifies and unlocks if authorized. This keyless system enhances security and convenience for homes, businesses, and facilities.
Smart_Barrier_System
Smart barrier system utilizes Arduino, ultrasonic sensor, servo motor, red/green LEDs. Ultrasonic sensor detects vehicles, Arduino controls servo motor to lift barrier (green LED), lowers when no vehicles (red LED). Streamlines traffic flow with efficient automation and clear visual indicators.
Student-Placement-Predictiion
The objective is to analyse previous year's student's data and use it to predict the placement chance of the current students.