The problem Shakti solves

We're aiming to build a project to empower women through an all-in-one platform. This app will be a one-stop for all the women who want to empower themselves and others. The main motive of our project will be to empower women physically, mentally, and financially. Our app will provide women with a platform to share their feelings, emotions, and grievances with each other and seek counseling if required. It will give them a chance to buy and sell the products made by other women. It will provide them with a platform to search for the opportunities and scholarships available to them. It also aims to provide safety to women with safe locations nearby and alert features. In addition, it will enable them to learn and explore the tutorials available in various different categories. We’ve also considered adding trackers for mood, pregnancy, and menstrual cycle along with a self-care section for puberty, health issues, products, etc. This will serve as a multi-purpose app required by women on a daily basis.

Challenges we ran into

1. It was challenging to group people having the same mindset and passion for putting effort into the hackathon.
2. The team had thought of various ideas for different tracks and choosing one was very difficult.
3. We've taken a survey about the common problems of women nearby, there were many things that need to be catered to but choosing some of them was a challenge for us. Moreover, we don't have suitable technologies for implementing some of the features.
4. The features decided to serve as small applications in themselves- grouping together would be a major task by selecting the appropriate technology.
5. The flutter depreciations, the amount of load an application takes, and updations in firebase were also taken into consideration.
6. The UI implemented should be appealing to attract women users to the app. It should reflect feeling of being at peace, safe, strong, and empowered. Women users should feel comfortable while using the app.
7. We want to make this a women-oriented application and thus we decided to implement an ML model and train it to detect women users during login.