Developers: Priyansh Saxena, 3rd year B.Tech (CSE) student Pulkit Rajgadiya, 3rd year B.Tech (EE) student Akash Kumar Kushwaha, 3rd year B.tech (ME) student Faculty Mentor: Dr. Shubhajit Roy Chowdhury and Dr. Mohammed Talha Abstract: Every year, a huge loss to life and property is caused by fire. Fire-fighting is a risky business and requires extremely skilled labour. Is it possible to extinguish fires without putting fire-fighters into danger? The solution lies in developing an autonomous robot that acts in-place of fire-fighters and reduces risk to human-life. The device sends an SMS alert to the user and the nearest fire-station. This can reduce the damage caused because of lack of information about fire. The user can control the robot and guide it inside hazardous situations. This can reduce the risk to fire-fighters significantly. The device is also integrated with a live camera-feed that can show human presence in fire-affected areas. This can be used to take appropriate action to save lives. The robot can work under a reasonable range of temperature efficiently.
Developers: Anurag Rakde, 3rd year B.Tech (EE) student Aryan Kumar, 3rd year B.Tech (CSE) student Avnish Gupta, 3rd year B.tech (ME) student Rohit Kumar Verma, 3rd year B.Tech (CSE) student Simranjeet Singh, 3rd year B.Tech (EE) student Faculty Mentor: Dr. Kaustav Sarkar Abstract: The public distribution system in India is not without its defects. Around 40 crore of the population of India come in below poverty line (BPL) families. There have been growing instances of consumers receiving inferior quality of food grains, deceitful dealers replacing the good supplies with inferior stock and several other malpractices. However, ration stores have the problem of the long queues which cause a lot of time wastage and unwanted commotion in the stores. To add to it, corruption and malpractices have shown up on the part of the store employees. The project aims to develop a product known as automatic vending machine that is primarily meant to be sanctioned and operated in the ration stores in India. This is a machine around 2 m in height and 1X1m in area. It contains storage containers for various ration items and final output is the dispensation of desired quantity of one specific ration. These commodities can include wheat, rice, milk, kerosene, sugar, etc. which will be distributed to the ration card holders at a price lower than the market price (called the Issue Price). The aim is to make this product as much user friendly as possible. The Automatic Ration Vending Machine(AVRM) has an interface (a touchscreen).. As soon as the input is given, the entire mechanism of the product comes into action. The customer will have to specify the quantity of the commodity he/she needs. Immediately after dispensation of ration, a printed bill will be generated. The amount specified will be will be deducted from the synced bank account of the customer. The mechanism is such that employee at the store can regularly fill the bags inside the machine once they reach a minimum quantity.
Developer: Akshat Gupta, 4th year B.Tech (EE) student Faculty Mentor: Dr. Anil Kr. Sao Abstract: Anybody who has played guitar knows the importance of a well-tuned guitar. One can create music out of a guitar only if the strings of a guitar are tuned correctly. Tuning the guitar properly can take upto 5-10 minutes for beginners and is usually quite inconvenient. Even for professional guitarists, tuning the guitar takes decent amount of time. Also, to play different songs which are at different scales, one has to change the tuning of the guitar from time to time. To avoid hiatus due to tuning a guitar during a live performance, professional guitarists tend to keep several guitars, carefully tuned at different 'tunings' whilst performing live. In this project, cumbersome process is simplified by making a ' Self-Tuning Guitar '. This mechanism will recognize the frequency of the sound produced by a string of a guitar, and tune the string to the correct frequency in a flash. This is done by using a frequency recognizer, which informs a micro-controller attached to the guitar about the current frequency(musical note) a string is tuned to. The information regarding the correct frequency(musical note) to which a string should be tuned to is fed in the micro-controller. The micro-controller uses these information, and a ' Mapping ' which we find in course of this project, to tune the guitar string to the correct frequency, using a motor attached to the guitar.