Section: International Society of Automation (ISA-VIT)
The International Society of Automation (ISA-VIT) Organized a 3-month long hackathon named “iHack”. iHack was divided into 3 rounds and had a total price money of 30,000 Rupees. In round 1 the participants were given problem statements on the following themes: 1) Healthcare 2) Innovation in Business 3) Rural Transformation 4) Defence 5) Disaster response. Round 1 was conducted online and we got 222 responses out of which 50 were selected for Round 2.
Round 2 of iHack was conducted on 12th of January during the Pre- Spark’19 in Kamaraj Auditorium. We were honoured to have dignitaries like Mr. Siva Shanmugam G, Mr. Senthil Kumar KS, Mr.Hemaprasad Yashwant Patil and Mr.V Sivaram Krishna as the judges for Round 2. In Round 2 the teams had to present their idea in form of a PowerPoint presentation and explain how it works before the judges within 10 minutes. The judges were quite impressed with many of the ideas. It was a tough decision but out of 50 teams 10 were selected for Round 3.
Round 3 which was the final round was conducted on 24th of Feb during Spark’19 in CS hall. Spark is our annual tech fest in which we conduct our most awaited events. This year Spark had 2 National Level workshop, 3 Inspirational Guest Lectures and the final round of iHack. We were also honoured to have dignitaries like Mr. Rajeshekhar Uchil, Mr. Ram V Kerur, Mr Ahamed Kabeer and lastly Mr. Muhammad Sirajuddeen were invited as judges for our final round. The Final Round was divided into 2 parts. In the first part of Round 3 the judges will go to each and ever team and ask about their idea each team had to present their working model and give an abstract of their project to which judges can ask questions and give them some feedback on how to make their final presentation better. After a lunch break the second part of the final round began. In the second part of the final round each team had to pitch their idea with a business model and how their technology can withstand in the competitive market. Each team had 10 minutes for the same to which judges asked questions and marked the teams.
Judges were really impressed by the young brilliant minds and how they used the feedbacks given to them just an hour ago into their presentation. After a session of brainstorming the judges came to the decision. The results were announced later in TT Gallery 1 were the winners Blackhat Coders, the first runner ups TechIt and the second runner ups MSTCVIT were felicitated with awards and T-shirts by our honourable Chief Guest of Spark’19 Dr. Upendra Nath Singh (Technical Fellow, Sensors and Instrumentation, NASA). Thus the 3- month long hackathon came to an end.
Abstarct of the projects of the top 3 teams:-
Overview: Let’s take a case where a person had an accident and he is taken to the hospital by the locals. Now, the attendant has no idea where to start from.Every individual who is inside the emergency room is aware of that how essential it is to receive the critical information about the patient like the physical information, blood group, minor surgeries, allergies and chronic ailments in order to treat patient effectively.Now this is referred to asFIRST POINT MEDICAL INFORMATION (FPMI)The reasons due to which acquiring the FPMI becomes difficult is :-i) It’s a very time consuming process and chances of inaccuracy are higher. ii) It is difficult to verify the integrity and completeness of the information. Also some hospitals are known to store paper-based records, which would slow down the process. Coming to the solution, we have prepared a four point action plan: Assigning a patient with a 7 digit alphanumeric ID will result in a unique ID system containing more than 78 billion combinations which is more than enough for the whole population of the world. Consolidating the patient's medical history including allergies, previous surgeries into a centralized database with multiple redundancies to ensure proper backup. The data stored in the database is completely encrypted using industry standards. The data is only accessed by the unique id provided to the patient. This single ID can be used by doctors, pharmacists and insurance companies for expedited processing of insurance money. The reports of previous scans and pathology reports of the user are also stored using cloud storage and is available 24*7. New reports can be added along with the previous reports to analyse the patient's progress or decline. These reports are also stored in secure servers.Tech StackBack - End :Node JS, MongoDB, Cloudinary, Java (mobile app)Front- End :HTML, CSS, XML (mobile app).
Overview: There is no well defined parking system in India as of now , and whatever there is at all is manual. Moreover it is extremely hectic to find a proper parking in crowded workplace neighbourhoods and cities.Not only this wastes a lot of time for an individual but also slowly creeps into making traffic and fuel wastage a major problem in the bigger picture. This paper will provide a solution to automate parking by using a combination of these technologies-
1. UI/UX through an Android App
2. IOT based parking using RPIs and sensors.
3. kNN Machine Learning Algorithms to predict the best parking out of available parkings based on User’s travel history and workplace preferences.IntroductionStatistics from various studies show that often only because of failing to find a proper parking spot in time , a lot of time and fuel is wasted. Also , this collectively adds to the overall city traffic as the vehicle is stuck in finding a proper spot. These small problems in small ways not just add to bigger worldly problems like pollution but also result in overall less productivity of a workplace or a company as employees often early morning get stuck in traffic finding proper parking spots.This is what we are aiming to solve by studying there travel routines along with using IOT to find them a perfect parking by making our technology wok in conjunction with GOOGLE MAPS which they can actively monitor on their app, get real time notifications , track the number of people approaching that parking slot , monitor their parked vehicle in the parking using video surveillance within the app etc.GoalsGather data of drivers in various spaces throughout a given day and create a model for predicting the overall best parking slot for that person.Make an a phone application that interfaces all the acquired data in appropriate format to the user along with actively taking in inputs from the user to further improve the already existing model.Make a parking vacancy detector (Involving RPI’s and sensors) and communicate the data fetched from there to a cloud based service like AWS or FIREBASE from where the data can then be manipulated and interfaced in the app over google maps.Active monitoring of the parking for increased security and its video interfacing in the app.InnovationsActive Monitoring Of Your Vehicle In The Parking Space.Intelligent Suggestions From The App For A Parking.Target AudienceGeneral public who uses vehicles , mostly cars for their daily transportation.
The abstract of the idea is that we wish to build a system that is easy to deploy and efficient for administration that is managing a disaster. The system will allow the admins and the end user to have a efficient and easy way to access the most important necessities during the time of the disaster. The admin portal will work like a dash board with all the relevent features like warehouse management, consignment tracking, volunteer portal etc. The user portal will be a mobile first app that will help to request for volunteering, report issues and find nearest shelters.