-
-
Prognosify Architecture
-
Future Potential Threats along with Likelihood
-
Detailed info about each threat and precautions to avoid them
-
BMI Analysis along with personalized diet for healthy BMI range
-
Sleep Analysis along with duration and mood after sleep
-
Number of steps walked and calories burnt
-
Prognosify Assistant answering on how to book appointment in app
-
Prognosify Assistant fetching nearby healthcare details
-
Doctors from different specialities along with their fees
-
Patient requests appointment & Doctor sees him in waiting list
-
Patient receives prescription pdf on mail
-
Patient can set daily health routines and medications reminders
-
Patient can get insightful summary from any Medical Report
Prognosify: Revolutionizing Health Empowerment
Inspiration
Our inspiration revolves around the timeless adage "Prevention is Better Than Cure." Prognosify embodies this wisdom by providing users with a visionary tool to anticipate and thwart potential health issues before they manifest.
What it does
Prognosify is a holistic health companion that transcends conventional healthcare boundaries.
Predictive Insight: The app utilizes the Random Forest Classifier Algorithm to predict future health issues based on common yet some important general symptoms. Users receive a comprehensive list of potential diseases along with corresponding likelihood percentages.
Personalized Lifestyle Analysis: Prognosify tracks users' BMI, sleep cycles, step count, and calorie intake, leveraging artificial intelligence to analyze lifestyle patterns. This analysis results in a personalized lifestyle score, offering users actionable insights to improve their overall well-being and also helps Doctors on Prognosify get a comprehensive view of their patient's lifestyle and bad habits.
Informative Hub: Beyond predictions, Prognosify offers detailed insights into symptoms and precautions for each predicted disease. This equips users with valuable knowledge to make informed decisions about their health. Along with that, Prognosify also recommends latest Health Articles and news to keep the users updated about the Health trends.
Doctor Integration: The app also allows healthcare professionals to register and provide medical assistance directly through the platform. Doctors gain access to detailed lifestyle data of users, enabling more accurate prognoses and tailored recommendations based on individual health profiles. With the meticulously designed Digital Prescription System, they can send Comprehensive Prescriptions to their Patients in a well organised PDF file.
Nearby Healthcare Services: Prognosify AI Assistant fetches nearby healthcare details, including hospitals, clinics, and pharmacies, to help users access medical services conveniently. Users can view ratings, reviews, and availability to make informed decisions about their healthcare providers.
Medical Reports Summarization: Users can obtain summarized versions of their medical reports through the app, making complex medical information easily understandable. Prognosify translates medical jargon into layman's terms, empowering users to comprehend their health status effectively.
Custom Health Routines & Automatic Reminders: Prognosify goes a step further by empowering users to create custom health routines tailored to specific predicted diseases. They can also set reminders for daily medication doses proscribed by Doctors. Users receive timely notifications to adhere to their routines and medications, fostering a proactive and responsible approach to preventive healthcare.
How we built it
Creating Prognosify was a meticulous process that involved a harmonious blend of cutting-edge technologies and innovative methodologies.
Flutter Brilliance: Prognosify's cross-platform capabilities were made possible by leveraging Flutter. The framework's flexibility and efficiency allowed us to craft a seamless and visually appealing user interface that resonates with users across diverse platforms.
API Architecture and Model Pipelines: The robust communication between the user interface and Prognosify backend is facilitated by a well-architected API. Along with this, the backend is meticulously designed to communicate with the Llama Model Pipeline and the Gemini Model API for faster inference from the Medical Reports and User Lifestyle Data. This crucial component ensures secure data exchange, laying the foundation for Prognosify's dynamic functionality.
Random Forest Algorithm: At the core of Prognosify lies the Random Forest Classifier Algorithm, used to train the Predictive Model on Real Patient Disease, Age, Gender and Symptoms Dataset for predictive analytics for future threats. Mastering this sophisticated model required a deep dive into machine learning intricacies. We meticulously trained the model to ensure accurate predictions, making Prognosify a reliable health oracle.
Data Symphony: Sourcing, processing, and managing health data presented a unique set of challenges. We navigated through diverse datasets schemas, addressing issues of data quality and relevance. This meticulous approach ensures that Prognosify delivers precise and valuable health predictions.
Frontend-Backend Choreography: The synergy between frontend and backend development played a pivotal role. Overcoming challenges in model training, data sourcing, and API deployment demanded a coordinated effort to create a seamless and responsive application.
In overcoming these challenges, we fortified Prognosify with resilience, innovation, and a commitment to delivering a transformative health prediction experience.
Challenges we ran into
The journey of creating Prognosify was not without its challenges, each of which became an opportunity for growth and innovation.
Data Complexity: Dealing with health data, characterized by its intricacy and diversity, posed a significant challenge. Navigating through varied datasets demanded a nuanced understanding of healthcare information, ensuring the accuracy of predictions.
Model Training Hurdles: Training the Random Forest Classifier Algorithm required fine-tuning and optimization. Overcoming intricacies in model training was essential to achieving the high level of prediction accuracy that Prognosify offers.
API Deployment: Establishing a robust API that could seamlessly handle data exchange between the app and the prediction model and the other LLM end points posed its own set of challenges. We dedicated efforts to ensure the API's efficiency, security, and reliability.
User Interface Design: Crafting an interface that not only delivers functionality but also captivates users required careful consideration. Striking the right balance between aesthetics and usability demanded iterative design processes.
Application Logic Complexity: Implementing sophisticated application logic was crucial for Prognosify's performance. We encountered challenges in fine-tuning the logic to provide accurate predictions while maintaining a user-friendly experience.
In overcoming these challenges, we fortified Prognosify with resilience, innovation, and a commitment to delivering a transformative health prediction experience.
Accomplishments that we're proud of
Prognosify stands tall as an embodiment of innovation and achievement, boasting a plethora of accomplishments that redefine health prediction and prevention.
Futuristic Features Unleashed: Prognosify is not just an app; it's a powerhouse of features designed to empower users. From predictive health insights to personalized daily routines, the app seamlessly integrates advanced technologies to deliver a holistic health prediction experience.
Personalized Health Routines: One of our proudest accomplishments is the integration of a feature allowing users to create custom health routines tailored to prevent specific diseases. Prognosify empowers users to take charge of their well-being by offering personalized recommendations and timely notifications.
Notification System: The Notification System doesn't just remind users but actively assists them in following their health routines. Prognosify's notifications are designed to keep users informed, motivated, and on track toward a healthier lifestyle.
User-Centric Design Excellence: The user interface of Prognosify reflects a commitment to design excellence. Every element is meticulously crafted to provide a visually appealing, user-friendly experience. Navigating through health predictions, symptoms, and precautions becomes an intuitive and engaging journey.
Machine Learning Precision: Achieving precision in health predictions was a formidable task. Prognosify's machine learning model, based on the Random Forest Classifier Algorithm, stands as a testament to our commitment to predictive relevancy. The model's ability to predict diseases with likelihood percentages is a game-changer in preventive healthcare.
Cross-Platform Seamlessness: Prognosify seamlessly adapts to diverse platforms, thanks to the brilliance of Flutter. The cross-platform compatibility ensures that users, regardless of their device, experience the same level of sophistication and functionality.
Comprehensive Disease Insights: Prognosify doesn't just stop at predictions; it provides users with comprehensive insights into each predicted disease. From symptoms to precautions and daily health routines, users have access to all the information they need to stay proactive about their health.
Doctor-Patient Collaboration: Our platform facilitates seamless collaboration between doctors and patients, ensuring that medical professionals have access to vital lifestyle data to make accurate prognoses. This collaborative approach enhances the accuracy of predictions and fosters a more personalized healthcare experience.
Lifestyle Analysis and Scoring: Prognosify takes health prediction to the next level by analyzing users' lifestyles and assigning a personalized lifestyle score. This innovative feature provides users with valuable insights into their overall well-being and empowers them to make informed decisions about their health habits.
Medical Reports Summarizer: Prognosify simplifies the understanding of complex medical reports by providing users with concise summaries and actionable insights. This feature enables users to gain a deeper understanding of their health status and facilitates more meaningful discussions with healthcare providers.
What we learned
The journey of creating Prognosify was a profound learning experience that enriched our understanding of technology, healthcare, and the intricate intersection between the two.
Healthcare Data Dynamics: Navigating through healthcare data taught us the complexities and nuances inherent in health-related information. The journey of sourcing, preprocessing, and managing diverse datasets broadened our perspective on the challenges and opportunities within the healthcare domain.
Model Training Mastery: The development of Prognosify deepened our expertise in machine learning and LLMs. Understanding the intricacies of model training and optimization was a valuable lesson in harnessing the power of AI for predictive health analytics.
API Architecture Insights: Building a robust API with Flask for seamless communication between the app and the backend provided insights into effective architecture. We learned to create a secure, efficient, and scalable API, ensuring a smooth flow of data for Prognosify users.
User-Centric Design Philosophy: Crafting Prognosify's user interface reinforced the importance of a user-centric design philosophy. Learning to balance aesthetics with functionality, we gained insights into creating interfaces that are intuitive, visually appealing, and user-friendly.
Notification Psychology: Developing an intelligent notification system involved understanding user psychology. We learned how timely and motivational notifications play a pivotal role in enhancing user engagement and adherence to health routines.
What's next for Prognosify
The journey doesn't end with the launch of Prognosify; it's just the beginning. Our vision for the future involves continuous improvement, expansion, and a steadfast commitment to revolutionizing preventive healthcare.
Enhanced Predictive Capabilities: We aim to further refine Prognosify's predictive capabilities by incorporating advanced algorithms and data sources. This will ensure even more accurate predictions and a broader spectrum of health insights.
Community Engagement and Support: Prognosify's future includes fostering a vibrant community where users can share experiences, insights, and support. Building a collaborative space for health-conscious individuals is essential for holistic well-being.
Integration with Wearable Devices: The next phase involves seamlessly integrating Prognosify with wearable devices. This will enable real-time health monitoring and provide users with a comprehensive understanding of their well-being.
Global Health Insights: We aspire to leverage Prognosify's data to contribute to global health insights. Collaborating with healthcare professionals and researchers, we aim to identify patterns, trends, and early indicators of potential health challenges on a larger scale.
Continuous User Feedback Loop: Prognosify will evolve based on user feedback and evolving healthcare standards. We are committed to creating an app that not only meets but exceeds user expectations, making preventive healthcare an integral part of daily life.
Prognosify's journey is an ongoing exploration of innovation, learning, and a steadfast commitment to empowering individuals on their path to a healthier future.
Built With
- android-studio
- dart
- fastapi
- firebase
- flask
- flutter
- gemini
- llama2
- python
- scikit-learn


Log in or sign up for Devpost to join the conversation.