Traffic Lights Based On Traffic (TLBT)
TLBT is a simulation and hardware based project which aims to solve the problem which timer based traffic lights create. This project is mainly aimed at low traffic stoplights which can be very inefficient in scenarios where there are less cars in one side and lots of cars in the other side, in this case the high traffic side should be given high priority. To solve this problem we will be using Pictoblox code and Arduino with sensors and led lights.
Smart Bus System (B.E.S.T)
Best Experince in Smart Travel(B.E.S.T) – a bus with a smart station and a smart ticketing system. The smart bus has a ultra-sonic sensor which helps to count how many people get out and get in the bus. You can book the ticket after booking the ticket QR code will generate it have user details like name, age, gender, source and destination. The station has a gate where you must scan your ticket and enter the bus station. My bus can occupy 35 people, where 25 sit and 10 stand which display on LCD.
Trash-Bot
The Trash-bot can help human to categorize waste easily and efficiently. Trash-bot is a smart recycling bin that sorts waste at the point of disposal better than people through AI and machine learning. It scans the disposed item, identify and learn and diverts it into the right bin.
Smart Mirror
My smart mirror will wear the dress automatically using AI virtually. So we have to scan the QR code then it will take the measurements by we stretch our hands and it will say turn right and turn left it will take 360 degrees measurements and it will wear the dress on me say that is it very tight or very loose or is it correctly fit for us or we can scroll dresses of our size available in stock only. Once it will take the measurements we can try as many dresses as we want and it will wear the dress virtually on us without using the trial room so that we can save money and precious time. So many people, including me, do not like wearing dresses so many times in the trial room then my Smart Mirror will be useful. Youth girls do not have security in the trial rooms but by using My Smart Mirror they will be secure and safe.
Exercise corrector- Push up
a little device that counts the pushups someone performs and offers advice on how to modify the form if they are done improperly. To accomplish this, I combined Machine learning with
Arduino Uno. These two aspects work together to make it effective output. Many other exercises may have automated versions for future implementation
Smart Tolgate System
This is useful for sending one vehicle by one vehicle. It was useful for the maintenance of traffic. it is also used when important persons will come then this will be useful for security or protocol purposes.
ComFORCE
Compost is the primary fertilizer of choice for multiple farmers in developing countries, like India, because it is cheap and can be made from waste material. However, compost takes a variable time to mature, and immature compost can lead to the immobilization of nutrients in soil. The scale of this problem is enormous. It is estimated that around 130 million farmers in India might be at risk of immobilizing their soil due to immature compost.
Our device, ComFORCE, is an Arduino-based solution. We have used 3 sensors – a DHT11 temperature and humidity sensor, a capacitive soil moisture sensor, and a pH sensor. The DHT11 sensor provides a digital reading, so it can directly be connected to a digital pin. Furthermore, the DHT11 sensor provides a reading directly in degrees celsius, therefore, we don’t need to calibrate the readings. The moisture and pH sensors, on the other hand, provide analog readings between 0 and 1023, and therefore, they need to be calibrated.
Hence, the readings were collected from extreme, known values. For example, the pH sensor readings were taken from distilled water, pH 7, and lemon water, pH 4. Similarly, for the moisture sensor, we took readings from dry air, with approximately 10% moisture, and distilled water, with 100% moisture. Using the readings that we collected, we used a mapping function to convert the analog readings to more widely accepted, understandable values.
When the Arduino starts up, first, we collect 10 readings from each sensor and average them. By collecting multiple readings, we are able to reduce the chances of including an outlier in our calculations, which would lead to erroneous readings. Then, with the temperature readings, we determine the maturity of the compost and output the maturity stage of the compost sample to the user.
Then, the readings from all sensors, including the temperature sensor, are compared to the ideal parameter ranges. That way, a quality score, between 0 and 100, is generated for each parameter. Finally, to determine the overall quality score, the quality scores from each parameter are aggregated and averaged out. The quality score is then output to the user.
Language Translator
Language Translator is really helpful this translates From English to Spanish, French and Arabic
Mask Detector
Understanding the need to wear mask we have made a device which allows or restricts the entry of a person if the person in wearing mask or not accordingly. Through this device we want everyone to wear mask and follow safety control protocol.
Road De-flooder
Our project can solve a major problem that we are facing due to global warming, flooding. Due to flooding many cars get flooded and roads get locked. Our Road De-flooder will inform the AI system that there is a flood and eventually a bridge will come over to allow cars to go over flooded roads.
