RakthRakshak: Your Artificial Insemination Thalassemia Partner
Inspiration
We were moved by the emotional and logistical burden that Thalassemia families experience repeatedly. Our patients have experienced parents begging people to make last-minute blood donations and existing in the land of uncertainty between blood transfusions. By this, we came to the sequence that the unavailability of donors does not look like a central threat, the absence of a reliable, human, smart system does. RakthRakshak was not merely an attempt at developing an app, but instead it was a venture in redefining the blood donation experience of Thalassemia care in a manner that is proactive, sensitive and prophetic.
What It Does
RakthRakshak is a smartphone-based, artificially intelligent system that can revolutionize the case of Thalassemia with the following novel features:
Hyperlocal Donor Ecosystem Samarthan Circles: A care-circle of pre-vetted vigilant donors established by blood-type, location, and scheduling compatibility around the patient. The app is automatically rotating and overseeing the needs of the donors so that no one feels overworked.
Artificial Intelligence-based Predictive Matching and Burnout Solution The app uses machine learning to predict the future transfusion requirements and finds the most probable available donors and it manages donor fatigue through such processes as request rotation and donation cooldown tracking.
Smart Health Assistant is 24/7 Chatbot embedded into the application to assist the patients and caregivers by supporting:
1.Medication reminders (e.g. iron chelation therapy)
Symptom journaling 3.Checklists of transfusion prep 4.Check-up of emotional health
Backup Cascade Alerts In case a major donor is not available, RakthRakshak intelligently makes moves upstream to 2nd standing donors within a set radius in a non-last minute panic mode scenario.
Scheduling integration Family-Caregiver In the case of children or dependent patients, the app will enable parents or the guardians to handle transfusions, school schedules, and donor organization at a single dashboard.
6.Score of the Compassion and Trust Index The scores of timely donations, responsiveness, and positive come up with a “Compassion Score” earned by donors. This constructs a trust layer of game where there is beyond retail giving.
7.Anonymous support wall Anonymous community feed, moderated where the patients and the donors can appreciate each other, share stories, say thank-you, or otherwise offer words that promote the emotional fabric that lies behind blood donation.
The Construction of It
We decided to develop a strong concept behind the whole hackathon, and therefore we aimed to develop a solid prototype around the concept of the Samarthan Circle.
1.Backend: Built on python and Flask to deal with user sign up, manage data logic, and implementation of the matching algorithm. 2.Frontend: Figma design that will depict user-friendly processes of patients and donors. 3.Algorithm: it was designed a working model that clustered the users as per blood group and location to cluster donors and that the rotation of donors was done to make it more even yet not fatigued out.
Our Situation of Challenges
The significant learning was how to scale our ambitious vision to hackathon time. This is because first, we wanted to develop the entirety of the AI engine and the chatbot, but instead decided to polish the core of the project, the Samarthan Circle, and render the donor clustering algorithm workable and fair. Design complexity was also observed in testing realistic situations with synthetic data to replicate a sense of donation cycles.
What We Are Proud of
- Developing a functioning prototype of the Samarthan Circle that fosters smart donor patient matches that are sustainable. 2.Make human empathy, not simply efficiency, the center of our design-improving how donors are recognized, and how patients feel more at ease.
- Adding AI-based functions such as burnout prevention and intelligent donor forecasts, which makes this even more than a logistics app. 4.Transforming the concept of what a blood donation app can be: not a transaction to be, but a transformation.
##What We Learned
We found out that a daring idea gains might when it is narrowed down to Minimum Viable Product. We got an experience in
1.User-centric design Rapid prototyping 2.Healthcare and Ethical reasoning on AI 3.Emotional and social layers in technical solutions.
More importantly, we discovered the real power of technology to build trust & community, specially in life critical case like Thalassemia.
What is the next for RakthRakshak
Coming 3 Months
- Roll out a pilot-ready app and experiment with it with 25-50 families along with NGOs such as Blood Warriors or Sankalp India.
- Check if donor rotation and backup alert logic works with real user information.
Following 6 Months
1.Merger the artificial health assistant and predictive donor models.
- Assure medical data security meets compliance (as per, HIPAA/GDPR standards).
Within 1 Years
1.Establish collaborations with hospital from public or private sectors.
- Make the integration with national health systems and registries of blood.
- Roll-out RakthRakshak nationwide, with languages tailored.
Built With
- amazon-web-services
- auth0
- dialogflow
- figma
- flask
- mapbox
- pandas
- postgresql
- python
- react
- scikit-learn
- sendgrid
- tensorflow
Log in or sign up for Devpost to join the conversation.