Inspiration
The inspiration for RaktSathi came from a real-life proving problem of thousands of Thalassemia patients in India who rely on routine blood transfusions to live and be healthy. While developing solutions during healthcare hackathons, and volunteering for medical NGOs, we learned how impossible it is for patients-especially those from rural settings- to procure timely blood transfusions, connect with donors, or even understand the illness. The stories of children that had missed transfusions because people could not be found who could provide blood were moving. All of this encouraged us to build something scalable, accessible, inclusive, and there was a true synergy of technology - AI, gamification, and multilingualism to be inclusive to reach people across all geographies.
What it does
RaktSathi is a conceptual one-stop Platform aimed at supporting Thalassemia patients in India by providing real-time blood donor matching, enhancing transfusion tracking, and providing accessible patient education and support. Its goal is to help everyone from villages to cities without any consideration for digital literacy, while combining AI, chatbots, SMS/IVR and gamified donor engagement. The platform will do the following: Predict donor availability through AI/ML Match patients to suitable donors in real-time Track and remind donors about their donation behaviour Educate and support patients by using a multilingual chatbot Use gamification to facilitate recurring donors participation.
How we plan to build it
We are intending to construct RaktSathi using: Frontend: React Native (for mobile app) + basic interface of HTML/CSS (for minimal data transfer devices) Backend: Node.js and Express (for API) Database: MongoDB or Firebase (to handle user data flexibly, and scalability) ML and AI: Python (Prophet for time series data or scikit-learn) to predict donor availability Chatbot: Rasa or Dialogflow (for multilingual support) Communication: Twilio or Gupshup (for consumer SMS or IVR) Gamification: Customized logic for outcome measure logic and achievements or leaderboards Security: OAuth 2.0 or data encryption (AES) of patient/donor information There will be consideration to interface with government platforms like e-RaktKosh and Blood Bridge on the Basis of APIs.
Challenges we anticipate
Protecting data security and patient privacy when dealing with sensitive health records; Managing language and digital literacy gaps, especially in rural areas; Creating AI models based on little or simulated donor data at first; Understanding the gamification component without taking away from the seriousness of blood donation; Ensuring compatibility with government healthcare platforms.
Accomplishments we hope to achieve
Generate a scalable prototype that connects donors to patients.elevate accessibility and simplicity of use through an interface appealing to all ages.build gamification mechanics that maintain donor engagement without monetary incentives.create a knowledge module for awareness of Thalassemia care.create a scalable prototype for organizations such as Blood Warriors to use in an interoperable model nationally.
What we aim to learn
Ways to use AI in healthcare or logistics and donor engagement in a meaningful way. Best practices for creating platforms that provide inklusiveness from urban or rural user perspectives. Ways to combine social motivation and health tech effectively. Ways to protect and comply with data sharing and usage in a healthcare-focused platform
What's next for RaktSathi
If we are selected for the hackathon, we'll be able to:
- Build a functioning MVP with basic AI prediction and matching capability.
- Implement the gamified donor engagement module and provide real-time badges.
- Test the multilingual chatbot for basic patient Q&A.
- Validate our approach by acquiring early user feedback with NGOs or other local clinics. If we succeed in the hackathon, we can:
- Integrate with the blood bank system used in the real world (e-RaktKosh).
- Office with the hospitals/NGOs to provide real usage.
- Add features like donor analytics, impact dashboards, and important financial aid links.
Built With
- aes
- amazon-web-services
- dialogflow
- e-raktkosh-api
- e-raktkosh-api-(blood-donor-data-integration)
- express.js
- express.js-(api-handling)
- fastapi
- firebase
- firebase-(authentication-&-real-time-db)
- flask
- flask/fastapi-(ml-model-integration)
- github
- github-(version-control)
- google-cloud
- google-cloud/aws-(cloud-services)
- google-translate-api
- google-translate-api-(language-support)
- gupshup
- heroku
- javascript
- javascript-(frontend/backend)
- mongodb
- mongodb-(database)
- node.js
- node.js-(backend)
- oauth-2.0
- oauth-2.0-(authentication)
- python
- rasa
- rasa/dialogflow-(chatbot)
- react-native
- react-native-(mobile-app)
- render
- render/vercel/heroku-(deployment)
- twilio
- twilio/gupshup-(sms/ivr-communication)
- vercel
