Swasya AI
Turning dialogue into data and data into clarity.
Created on 9th November 2025
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Swasya AI
Turning dialogue into data and data into clarity.
The problem Swasya AI solves
The Problem It Solves
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Overburdened Primary Healthcare System: With only 1.2–1.4 doctors per 1000 people and around 2–3 primary health centers per million population, doctors face a massive workload, leaving little time for each patient.
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Communication Gaps: Many patients and doctors come from different linguistic backgrounds, making it difficult for doctors to understand patient problems accurately due to language and dialect differences.
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Time Constraints: Doctors typically have less than 3 minutes per patient, which limits their ability to review past medical reports, prescriptions, and understand the case deeply.
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Manual Record Analysis: Doctors and nurses rely on paper-based prescriptions and reports, making it hard to analyze old records, maintain patient histories, and connect previous diagnoses with current conditions.
What People Can Use It For
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Nurses: Use the mobile app to record patient interactions, scan prescriptions, and automatically create structured medical summaries.
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Doctors: Access AI-generated medical histories and visit summaries before consultation, allowing for faster and more informed decision-making.
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Administrators: Monitor patient flow, manage health center data, and detect regional health trends or outbreaks in real time.
How It Makes Existing Tasks Easier and Safer
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Saves Consultation Time: AI-generated patient summaries reduce time spent reading and asking repetitive questions.
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Improves Accuracy: AI extracts key details from scanned reports and prescriptions, minimizing human error in manual data entry or report reading.
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Bridges Communication Gaps: Real-time transcription and summarization help doctors understand patients better, even across different languages.
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Enhances Record Management: All patient data, including prescriptions and medical histories, are digitally organized and accessible through UHID-based records.
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Enables Preventive Care: Aggregated, anonymized data can help identify local disease outbreaks early, improving public health response.
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Strengthens Trust: With clear records and better understanding, both patients and doctors experience more transparent and confident consultations.
Challenges we ran into
Challenges and Solutions
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Real-time Transcription Accuracy
- Challenge: Handling multi-language (Hindi + English) speech during nurse–patient conversations caused inconsistent transcription.
- Solution: Implemented language detection and context-based transcription models to improve accuracy and maintain sentence flow.
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Document Scanning and Data Extraction
- Challenge: Extracting consistent information from scanned prescriptions and handwritten reports was difficult due to unstructured layouts.
- Solution: Combined OCR with AI summarization to extract and organize data into a standardized medical history format.
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Backend Scalability and Reliability
- Challenge: Managing multiple user roles (nurse, doctor, admin) and real-time sync led to backend overload during parallel sessions.
- Solution: Deployed backend services using AWS Lambda (serverless) architecture to auto-scale functions and ensure smooth, cost-efficient performance.
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Real-time Data Sync Between Dashboards
- Challenge: Nurse updates were not reflecting instantly on the doctor’s dashboard during initial builds.
- Solution: Designed a polling mechanism algorithm to continuously fetch updated transcriptions and present them in real time on the doctor’s dashboard.
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Outbreak Visualization on Maps
- Challenge: Displaying regional health trends dynamically on maps required optimized data handling and fast rendering.
- Solution: We will implement React-Leaflet integrated with MongoDB’s geospatial queries to visualize real-time health outbreaks efficiently and interactively.
Tracks Applied (6)
Base44 Innovation Challenge
Base44
Build Your Business with AI - Using Studio & Base44
Base44
Best Use of Qapi
Qyrus
REMARKABLE INTEGRATION OF AWS
Devfolio
Best Use of Gemini API
Major League Hacking
Best Use of MongoDB Atlas
Major League Hacking
Technologies used
