```cv
gallery
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```

## **☄ Problem we are dealing with**

* Sharing your card with your family and friends.

* Sharing cards can have unexpected consequences due to lack of any limits or purpose.

## **⚛ How we solved**

An app, where the cardholder can share their card to partner/family/other/ and can limit their their daily/monthly budgets and per-transaction limits. Permissions can be grantedto shared people for the requirement of consent approval from the cardholder.

## **⚒ Market Competition?**

No direct competition. First in the industry

## **📚 Technical Details**

```
Bloc-Pattern
Flutter SDK.
Firebase Cloustore
Firebase Auth
Google Cloud Services
```

## **⚛ Features we provide**

```
* Manage all cards at one space
* Share your cards with loved ones
* Add daily, monthly and per transaction limits
* Get detailed spending reports for all users
```

## **✨ Team**

Thanks goes to these wonderful people:

* **Abhishek kumar**

* **Abhinav Appidi**

* **KrishNa**

* **Priyav Kaneria**

* **Arshdeep Singh**

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2Ftff1AqjL03UTSRraFDuU7hVQ7Ci1%2F0Kyumni2awbga4ps3xZ1%2F7be8341b-4fda-446f-ac75-b7f6f41d5dbe.png?alt=media&token=ed686a77-1e81-44f8-98c3-3cecccf280e2","id":"7be8341b-4fda-446f-ac75-b7f6f41d5dbe","width":2880,"height":1420,"filename":"Screenshot 2022-01-23 at 12.10.29 PM.png","type":"image/png","caption":"","border":false}]}
```

FinShare

```cv
gallery
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```

## **Achievements**

* Honourable Mention @ Amazon AWS Data-Exchange Challenge 2020

* People's Choice @ RALLYtoUS + VetsinTech Online Hackathon 2020

* Best AWS Project @ RALLYtoUS + VetsinTech Online Hackathon 2020

## **Inspiration**

The safest way place to be in this pandemic would be at home but going out is always an inevitable thing whether its for groceries or for other necessities. Going out during this pandemic contributes a risk of getting infected with COVID19. But how much exactly is that risk of going out poses to your health in general? In hindsight of that question, this project aims to give every user a perspective on how much their exposure levels are to COVID 19 based on their daily activity of going out.

## **What it does**

The app takes your home location and set's it as a safe zone where COVID exposure levels are 0 and the app classifies the data received from the AWS Data Exchange enigma corona tracker it classifies every place in the world as one of 3 zones. Zone 1 is a green zone where COVID cases are light to almost none for example countries with less COVID cases or in general an empty space, Zone 2 is an orange zone where you have orange level exposure where COVID cases are mediocre and finally, Zone 3 which is a red zone which is a heavy COVID population concentration and also includes public spaces. The app classifies which zone you are in and presents a risk-based analysis based on the time you spent outside and based on the zone that the app classifies you in. It tracks how long you spent outside on that zone and when you return back home the app gives you an analysis of all the places you been to and the associated zone and gives a risk estimate on contracting COVID19. It gives you a detailed analysis of your daily activity and your monthly exposure levels to COVID. This gives the user's a visual understanding of contracting COVID and the app also furthermore gives a risk analysis of wearing a mask vs without wearing mask for giving the user a perspective on how their exposure risk changes based on your precautions. Lastly, the app presents a set of precautions that must be taken based on your exposure levels in the time you spent outside. The app also contains a map that wasn't completed to its potential but was intended to give a zone view of your location's radius on different exposure levels at different places.

## **How we built it**

We built this app using flutter as our frontend for presenting our data visualization and analysis and fast API as our backend to compute our data from AWS and the data generated by the user. We used the AWS data exchange data set enigma corona scraper for analysis on locations and classifying a location to a zone based on population, corona growth rate, and other aspects to classify a location into a zone. Once it classifies an algorithm computes your risk exposure levels based on the time you spent at a zone. We hosted this application on Amazon EC2 instance and our storage in S3 and arangoDB for storing all data from AWS and the user-generated data. Lastly, we used different API's for map generation and news collection. We used a python library geopy to translate coordinates into an address the database understands for zone classification.

## **Challenges we ran into**

Classifying a location to a certain zone took a lot of metrics and in many cases, the database didn't contain all metrics needed so we had to find other sources for the database to collect missing values. The data visualization and analysis was a challenge we had to pass while building the application.

## **Accomplishments that we're proud of**

We are proud of our data analysis based on the user's daily input and AWS data exchange dataset's insight for backend zone determination and risk assessment. Furthermore, we built a good model to predict COVID exposure from real-life tracking and exposure risk levels.

## **What we learned**

We learned to work with different API's connecting all of them together and certainly learned a lot about data modeling visualization.

## **What's next for TrackMyCovid**

The next steps for TrackMyCovid are creating a map view of the world with green, orange, and red zones and creating more personalized reports based on COVID exposure and creating more accurate estimates. Furthermore, we plan on developing a map view to push notifications when you enter a new zone the app gives statistics on that zone and furthermore precautions for that exact zone.

## **Built With**

* `amazon-ec2`

* `amazon-web-services`

* `arangodb`

* `aws-data-exchange-enigma-dataset`

* `boto3`

* `covid19.org`

* `fastapi`

* `flutter`

* `geopy`

* `matplotlib`

* `newsapi.org`

* `nginx`

* `numpy`

* `pandas`

* `scikit-learn`

## **Try it out**

* [GitHub Repo](https://github.com/ArshdeepSahni/TrackMyCovid)

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2Ftff1AqjL03UTSRraFDuU7hVQ7Ci1%2F95CmAclZKCXVTHZNaXph%2F4f40f935-1deb-480e-886c-434f37b3e4f5.png?alt=media&token=78b1b619-d78e-4b26-a65a-db43cc530900","id":"4f40f935-1deb-480e-886c-434f37b3e4f5","width":2879,"height":1593,"filename":"TrackMyCovid.png","type":"image/png","caption":"","border":true}]}
```

TrackMyCovid

```cv
vimeo
{"url":"https://vimeo.com/669062049","width":360,"height":360,"thumbnail":"https://i.vimeocdn.com/video/1355102536-7fec18e63651bc5127b3c77d0d01a109b0fd53226e6f0a0246f1a419a5e453cc-d_100x75"}
```

## **Inspiration**

Considering the safety and security of women in India in the recent times, We wanted to give a try from our end to address the issue in a simpler and safer way. Looking at the recent trends and the most powerful weapon with the humanity - technology, we planned to use the same to give access to women in serious or dangerous situations to address the issue in a fast and easier way to ensure their security.

## **What it does**

The Mobile and Watch Application for women which analyses the user location and surroundings and with a little input of behavioural analysis, we can estimate the probability of a women to be in a safe environment or prone to be under threat. Extra features like SOS, Instant recording, police siren(to drive away the danger), booking cabs, shake detector and Safe Percentage Predictor which user can a functionality to be available at hand.

Women Safety App constantly shares the user’s location to the backend where the backend analyzes if the user is presently in a dense area or is alone in a very less populated zone or in an unused area via the google traffic analysing API.

## **How we built it**

The Mobile and Watch App Contains a dashboard that contains all the important Action Buttons like SOS, InstantRecorder, Police Siren, Instant image capture, nearby police stations, instant Taxi/Cab booking, Voice Assistant(for instant use), and most important shake feature to alert the application to automatically perform the emergency tasks while in danger.

In the event the user doesn't give consent for their location being monitored, the app just functions as a safety and self defence app with various protections features which can make the app in action either on rapid shake while in emergency or by custom use by the user.

## **Challenges we ran into**

Flutter was not supported for WatchOS Application Development. Crime Data for the Here maps integration was a big issue to deal with. Implementing Shake feature precisely for better use was quite useful and hard for the team.

## **Accomplishments that we're proud of**

We are proud to provide the Multi-Platform (Mobile + Wearable gadgets) Application to the community for the better implementation and outreach of Women Safety through a single compact App involving various useful and powerful features. We also encourage and praise the whole team for the great involvement and integrating various feature and technologies into the project

## **What we learned**

We learned how to enable the shake feature while in background using the Machine Learning to predict precisely whats the actual or nearby situation the app should be more active to hear the shake. We also learned how to implement and get the better use of Voice Assistant for instant usage.

## **What's next for SheHeroes**

While focusing on the idea for future developments, we want to proceed with WatchOS application as wearables are the near future and the technology is easily available at hand for users. Though we faced time and technical constraints at the moment, we are still optimistically moving towards the same for which we also started for working on the prototype.

## **Built With**

* `android SDK`

* `android-studio IDE`

* `android-wear Package`

* `dart`

* `firestore`

* `flutter SDK`

* `here-map APIs`

* `machine-learning`

* `mapquest API`

* `ola Web Service`

* `swift IOS Development`

* `visual-studio IDE`

## **Try it out**

* [GitHub Repo](https://github.com/ArshdeepSahni/SheHeroes)

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2Ftff1AqjL03UTSRraFDuU7hVQ7Ci1%2FHkfvEKT4ds57JkgSrXh7%2Fc1944626-429d-4329-96e4-0b10c9d1b2bd.png?alt=media&token=21443fe8-2053-4eb7-974e-c02dcc9c0636","id":"c1944626-429d-4329-96e4-0b10c9d1b2bd","width":928,"height":876,"filename":"s.png","type":"image/png","caption":"","border":false}]}
```

SheHeroes

## 

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2Ftff1AqjL03UTSRraFDuU7hVQ7Ci1%2FOK1VRjHgESlSXH0JipRO%2Fa42bbd8f-6f35-4369-a247-3c6d280463e2.png?alt=media&token=ba77f37e-96b7-4e43-9f9e-3cd86b7aa226","id":"a42bbd8f-6f35-4369-a247-3c6d280463e2","width":2880,"height":1616,"filename":"Screenshot 2022-01-23 at 11.30.32 AM.png","type":"image/png","caption":"","border":true}]}
```

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2Ftff1AqjL03UTSRraFDuU7hVQ7Ci1%2FOK1VRjHgESlSXH0JipRO%2F40fe5bf8-bad6-4f82-a480-849087692c53.png?alt=media&token=713fc54d-7ce5-42d6-bd04-4de5008de216","id":"40fe5bf8-bad6-4f82-a480-849087692c53","width":2880,"height":1616,"filename":"Screenshot 2022-01-23 at 11.30.42 AM.png","type":"image/png","caption":"","border":true}]}
```

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2Ftff1AqjL03UTSRraFDuU7hVQ7Ci1%2FOK1VRjHgESlSXH0JipRO%2F73095396-507a-4b74-a578-25cc10438815.png?alt=media&token=68c072e3-cfa8-402e-8bc6-c25771b4d0c5","id":"73095396-507a-4b74-a578-25cc10438815","width":2880,"height":1616,"filename":"Screenshot 2022-01-23 at 11.33.35 AM.png","type":"image/png","caption":"","border":true}]}
```

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2Ftff1AqjL03UTSRraFDuU7hVQ7Ci1%2FOK1VRjHgESlSXH0JipRO%2F9bffd132-8964-4907-a856-bf3e099f4a8e.png?alt=media&token=ca9d5b78-0744-4f80-8561-a9678d626c8c","id":"9bffd132-8964-4907-a856-bf3e099f4a8e","width":2880,"height":1616,"filename":"Screenshot 2022-01-23 at 11.30.54 AM.png","type":"image/png","caption":"","border":true}]}
```

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2Ftff1AqjL03UTSRraFDuU7hVQ7Ci1%2FOK1VRjHgESlSXH0JipRO%2F2364bfe3-f20e-4aa1-bd77-7db6969418da.png?alt=media&token=7ef70862-a981-4104-b5e4-4468bb4e7e40","id":"2364bfe3-f20e-4aa1-bd77-7db6969418da","width":2880,"height":1616,"filename":"Screenshot 2022-01-23 at 11.31.01 AM.png","type":"image/png","caption":"","border":true}]}
```

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2Ftff1AqjL03UTSRraFDuU7hVQ7Ci1%2FOK1VRjHgESlSXH0JipRO%2F05efb9f8-a9bc-4fde-95c8-084e6c07e6a2.png?alt=media&token=73580c11-150a-4f19-933a-078f74f97cc7","id":"05efb9f8-a9bc-4fde-95c8-084e6c07e6a2","width":2880,"height":1616,"filename":"Screenshot 2022-01-23 at 11.31.08 AM.png","type":"image/png","caption":"","border":true}]}
```

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2Ftff1AqjL03UTSRraFDuU7hVQ7Ci1%2FOK1VRjHgESlSXH0JipRO%2Ffe4701d2-35dd-4b90-b23f-af9f2f25bf7c.png?alt=media&token=6a63f358-6b85-466e-9c1e-949a9b9f99e1","id":"fe4701d2-35dd-4b90-b23f-af9f2f25bf7c","width":2880,"height":1616,"filename":"Screenshot 2022-01-23 at 11.31.15 AM.png","type":"image/png","caption":"","border":true}]}
```

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2Ftff1AqjL03UTSRraFDuU7hVQ7Ci1%2FOK1VRjHgESlSXH0JipRO%2Fe6c6137a-0a53-4853-925c-8e48ded92108.png?alt=media&token=ff909e67-2921-49b9-be0d-a9c33463b727","id":"e6c6137a-0a53-4853-925c-8e48ded92108","width":2880,"height":1616,"filename":"Screenshot 2022-01-23 at 11.31.22 AM.png","type":"image/png","caption":"","border":true}]}
```

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2Ftff1AqjL03UTSRraFDuU7hVQ7Ci1%2FOK1VRjHgESlSXH0JipRO%2F89ee1cf2-e5c3-44bf-a9e8-bcbfa8fc250e.png?alt=media&token=ed6f7f11-8298-41f4-b525-1a74c1641477","id":"89ee1cf2-e5c3-44bf-a9e8-bcbfa8fc250e","width":2880,"height":1616,"filename":"Screenshot 2022-01-23 at 11.31.29 AM.png","type":"image/png","caption":"","border":true}]}
```

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2Ftff1AqjL03UTSRraFDuU7hVQ7Ci1%2FOK1VRjHgESlSXH0JipRO%2F486e704c-2f74-4f4e-a4ea-4463f937304d.png?alt=media&token=3975c6af-e515-4f4e-91a8-4a087ad52a7a","id":"486e704c-2f74-4f4e-a4ea-4463f937304d","width":2880,"height":1616,"filename":"Screenshot 2022-01-23 at 11.31.35 AM.png","type":"image/png","caption":"","border":true}]}
```

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2Ftff1AqjL03UTSRraFDuU7hVQ7Ci1%2FOK1VRjHgESlSXH0JipRO%2F8b8ceb35-0584-40e7-a307-c45e4c2c2298.png?alt=media&token=8020f114-b2c4-42d1-8957-d6b76d931885","id":"8b8ceb35-0584-40e7-a307-c45e4c2c2298","width":2880,"height":1616,"filename":"Screenshot 2022-01-23 at 11.31.42 AM.png","type":"image/png","caption":"","border":true}]}
```

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2Ftff1AqjL03UTSRraFDuU7hVQ7Ci1%2FOK1VRjHgESlSXH0JipRO%2Fb2cf4701-4b36-410c-a8e3-566bd25f0f29.png?alt=media&token=aeb60b14-fcff-4591-b8e6-6deb54a42514","id":"b2cf4701-4b36-410c-a8e3-566bd25f0f29","width":2880,"height":1616,"filename":"Screenshot 2022-01-23 at 11.31.50 AM.png","type":"image/png","caption":"","border":true}]}
```

## **Achievements**

* Energy Conservation And Energy Efficiency @PEDA(Punjab Energy Development Agency)

Nano-bubbles Generator based Sewage Treatment Plant

```cv
gallery
{"layout":"hscroll","images":[{"src":"https://firebasestorage.googleapis.com/v0/b/maitake-project.appspot.com/o/pages%2Ftff1AqjL03UTSRraFDuU7hVQ7Ci1%2FZ0OeTBr1Leeg12NcvXWd%2Fe4f17dcc-a3e4-495b-95e1-f276c186c3b4.png?alt=media&token=54941d4a-a28d-42a7-b5e0-a8143bb0d016","id":"e4f17dcc-a3e4-495b-95e1-f276c186c3b4","width":1264,"height":938,"filename":"Screenshot 2022-01-24 at 2.27.33 PM.png","type":"image/png","caption":"","border":true}]}
```

When, the world was in the anxious state of Covid. Then ”Arshdeep with his team WON internationally by providing Solution to the widely spread disease.” Hereby Cordss brings a story of Co-Creation. 

Tune in and listen to how he along with his team won the International AMAZON AWS DATA EXCHANGE CHALLENGE 2020, By developing the COVID Healthcare app "TrackMyCovid". 

Podcast Links and Sources:

* [Spotify](https://open.spotify.com/episode/2JNlnAypvJ0bQaONEEq5mi?si=XgilFj3EQ1eeN_xm4dletA)

* [Youtube](https://youtu.be/mlnQkz7QUOM)

* [iTunes](https://podcasts.apple.com/us/podcast/episode-2-cordss-innovation-for-the-nation/id1534272418?i=1000501537047)

* [Linkedin](https://www.linkedin.com/posts/cordssmentorship_for-todays-speaker-whenthe-world-was-activity-6741627997633208320-83wI)