Walking into the Dialog Auditorium on the 15th Floor of the Dialog building has become an all too familiar thing. Nonetheless, seeing a multitude of people clad in blue t-shirts, buzzing around like bees was a tad surprising. This was especially surprising because it was early morning on a Sunday. This was CodeSprint 3.0.
Organized by the IEEE team of IIT in collaboration with Dialog IdeaMart, we already attended one of the workshops carried out at CodeSprint 3.0. This time, we were here for something even more important. This was the semi-final round of CodeSprint. Here, 15 teams would present their ideas to a panel of judges in the hopes of becoming a finalist to go on to the grand finals of CodeSprint 3.0 that would take place later on.
The mood as we entered the auditorium for CodeSprint 3.0 was one of intense concentration. Whichever way you looked at it, groups of people were huddled around laptops, or rehearing their presentations. Aiding them in tying up any last minute loose ends were a group of mentors who were from various planes in the Information Technology Industry.
Each team at CodeSprint 3.0 would have 15 minutes to make their pitches. Of this, 10 minutes would be for the product pitch and presentation. The remaining 5 minutes would be for the judges to ask any questions that they had.
We initially saw these guys at HaXmas. This is essentially a mobile app that can be used to plan your journey if you’re planning to take one. You can make a travel diary, add a place you love, follow other travelers, and essentially plan your journey for you. It also gives you the ability to explore your destination using Augmented reality and also as a 3D model.
If you have been to a place that you have gone, and you want to spread the word about it, you can use Journey to do so. You can also use the “TrackMe” feature which can be used to track your GPS location in real time.
The team addresses a key element that affects millions of people: Stress. The team’s product monitors the stress levels via a Brain Computer Interface. The BCI would take EEG signals along with a ECG readout. The device would also have a camera connected to it to detect the facial emotions of the wearer. On screen, the team showcases a demo where a volunteer wearing their prototype device is performing a complex mathematical equation. His alpha level brainwaves high, showing that in real time, he’s under stress.
They aim Stressrupt for both Companies and individual use as well. They also it for a fixed annual subscription per user for B2b and subscription for packages for B2C and SAAS for social media and other apps. One point that the judges pointed out was that a device of this nature would require FDA approval. Ironically, Sri Lanka has no FDA approval.
Kama is an all-in-one app which aims to reduce the time taken when ordering food at a restaurant. In addition, it also wants to make payment as hassle free as possible by paying through the app itself. You can make your booking before you go to the restaurant so when you get there, your food is ready. Once you’re done, you can even split the bill so you can pay for what you eat. If you can’t make it to the restaurant, you can even have the food delivered to your doorstep.
This is a platform for advertisers to advertise their products, but in a slightly different manner. Ads would appear according to the user’s interests. Essentially, they use geolocation and geofencing to push advertisements to customers based on their interests and their geographic location. So why would people watch these ads? Well, according to the team, for watching an advertisement, viewers may be awarded by a free top up or free data as well, courtesy of Dialog’s IdeaMart APIs.
There are 39 million people who cannot see the world. These visually impaired people use a cane to navigate where they go. The problem here is that the can is unable to sense objects around the user in an accurate manner. This is where the team’s products come into the picture. Firstly, an ultrasonic headband would sense objects around the user and convey that information by creating 3D sound using binaural audio technology. Essentially, it would be a little voice in your ear that tells you that an object is nearby and tell you what the object is.
The second device is a collapsible cane that uses a laser to measure distances. In addition, the cane would also be able to simulate a walking stick by providing haptic feedback when collapsed. It uses machine learning to analyze the path you take and to alert people in case of emergencies.
Presented by Team Loggers of the University of Moratuwa, PLUGe is an attachment to a 13Amp wall socket that can convert it into a smart device. This enables you to turn the device off from the plug itself, saving your electricity. The device makes use of machine learning to recognize normal usage patterns of a device. If said device is performing abnormally, then the user will be notified to power down the device. Rather than showing results in a power output, it would show reports in terms of money spent.
With the prevailing hot weather in Sri Lanka, most, if not all of us seek the shelter of an A/C, or a fan. The problem with fans is that they require a bit of adjusting to get the most amount of wind circulation. This is a problem that Fan-tastic aims to solve. They would produce ambient intelligence for Pedestal fans. This would take the form of an embedded IOT component.
With the device, a regular fan could be configured to change fan speed depending on the temperate. It could also oscillate depending on the people in the room and switch off/on accordingly as well. These settings and parameters could be configured through a mobile app that they would be releasing alongside the device as well.
This is a tool to help those with speech impediments. According to the team, the time invested in performing speech exercises and seeing positive results is quite low, with those with impediments losing interest in their exercises. LetMeSpeak offers a gamified approach. This is a mobile application that allows kids to practice their speech therapy via interactive games. It can identify a stutter in one’s speech and then save it for review. It can also give you reports to see your improvement as well. The demo has a number of exercises that they can carry out. Each game corresponds to a therapy solution.
The demo presented walked us through the demos and showcased how the app works. They would create an affiliate program with speech therapists who would recommend the app to them.
The team proposes a solution to encourage children to save money. Their solution, Salli Kete is a smart solution targeting children and encouraging them to save money. Rather than buy toys and sweets, the team aims to motivate the children to save money by introducing a scratch cards. Each card will have a hidden number along with a value. The value will be put into a virtual till.
The money collected from this til can be collected from a bank or it can be couriered as well. They would create partnerships with banks and chocolate companies such as Kinder Joy. They would also allow ads to a certain extent to earn revenue.
This is a search engine for medicine. It also functions as a tool that helps you locate said medicine from local pharmacies who have the highest probability of having that medicine. The main aim of this platform is to find medicine in emergency scenarios. The data of the medicine would be collected via people who provide stocks to pharmacies. When searching for medicine, the user can search either via a generic name or by the brand name.
From there, a list of the names and contact details of pharmacies that are most likely to have that medicine will be displayed. The probability of finding a drug will be calculated by an algorithm using the data provided by the drug company representatives.
Plant diseases are the biggest challenge for all farmers and gardeners. To combat this, Team Scorpion presented Plant-Doc. A device that can detect diseases in plants and various leaves as well. Once identified, it will provide suggestions for remedies. It can also suggest stores nearby. It uses image recognition to identify diseases. They aim Plant Doc at both large scale farmers and also for hobby gardeners as well.
This was a bit of a technical startup. Viyana is a web based market place for Serverless function. Essentially, if you’re a developer looking for a bit of extra income, you can share your Serverless function via the Viyana platform. From there, any developer looking for a similar function can subscribe to the function and use the function as a service
According to Team Avahi, Viyana supports all Serverless service providers such as Google Cloud Function, AWS Functions and Microsoft Azure Functions.
Adora is essentially an online marketplace that takes all major apparel stores in Sri Lanka and brings them under one online roof. They would use social media mining, machine learning and computer vision to provide helpful suggestions and recommendations to customers, regardless of where they went shopping.
In the demo, you are also able to select any clothing of your preference and then try it on in an augmented reality mode so that you can see how you would look
This is a product that bridges the demand and supply gap between famers and buyers. It is also an information hub for farming. So the farmer can accept orders based on the demand at a particular rate. So that way the cultivation is done to the order. Once done, the supplier will pay the farmer. A point by the judges was that a farmer who has been growing crops for perhaps generations, might not know how to switch or might not want to either
The team addresses diabetic foot ulcers. This is a large threat for people worldwide. This is the problem they addressed. The next problem was that people like sports athletes have a plethora of injuries. Their product is Genesan Sole. A smart sole and an accompanying app for Diabetic people and sports athletes. The Genesan Sole would measure the pressure of the foot and then notify the person if they are on the verge of getting a foot ulcer. The mobile app would give you alerts as well.
With that, the presentations at the Semi Final round at CodeSprint 3.0 came to an end. The judges then retreated to a safe place to calculate their scores to pick the teams who would go on to the final round. After a short tea break for the judges, it was time to announce the finalists at CodeSprint 3.0. And they were:
With that, the Semifinal round of CodeSprint 3.0 came to an end. The finals of CodeSprint 3.0 would be held on the 17th of March 2018. You can learn more about CodeSprint 3.0 here.
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