Doctor Proctor
Personalized Health, Accessible Wellness.
Created on 26th October 2024
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Doctor Proctor
Personalized Health, Accessible Wellness.
What’s your problem statement?
In today’s fast-paced world, maintaining a healthy lifestyle is increasingly challenging due to the complexities surrounding balanced nutrition, safe medication use, mental well-being, and health education. Many individuals lack easy access to personalized health advice, accurate nutritional insights, or reliable information about prescriptions, leading to uninformed health decisions and potentially adverse outcomes. Additionally, navigating health insurance policies is often overwhelming, especially when options are not personalized to the user’s unique health profile or preferences.
This comprehensive health solution aims to bridge these gaps by providing users with accessible, multi-lingual, and personalized support across several health domains. By combining diet planning, mental and physical health support, medication identification, and insurance guidance, this platform empowers users with actionable insights and clarity in every health decision. The solution integrates Gen AI-powered recommendations, image-based nutritional and pharmaceutical analysis, and educational resources in straightforward language, all tailored to foster informed, sustainable health choices for a diverse, global audience.
The problem Doctor Proctor solves
Balanced Diet Planning: Through interactive engagement, we create personalized diet plans tailored to users’ unique preferences and health goals, promoting balanced and sustainable nutrition.
Nutri Scan for Nutritional Insights (Multimodal): Nutri Scan allows users to capture images of food products to instantly access detailed nutritional information, including health benefits and potential risks, enabling healthier choices.
Pharma Scan for Medication Identification and Insights (Multimodal): Pharma Scan assists users in understanding their prescriptions by identifying medications, explaining their uses, potential side effects, and safety information. Users can capture images of medications to quickly retrieve accurate drug details.
Comprehensive Mental Health Support: This solution provides 24/7 mental health consultancy, building individual profiles over time to deliver personalized support that evolves with each user’s needs.
Bridge the Gap in Health Insurance Policy Selection: Leveraging Gen AI in a conversational interface, this feature guides users toward more informed, personalized insurance choices. It also offers a health score to assist in selecting the most suitable policy.
Personalized Physical Health Consultancy: By maintaining historical health data, the tool offers precise, context-aware recommendations. Full history traversal enables continuity and accuracy in health insights.
Accessible Health Education: We aim to make health education universally understandable by explaining nutrients and health concepts in relatable, everyday language.
Multi-Lingual Support for Broad Accessibility: Multi-lingual capabilities allow us to reach a diverse audience, making health insights accessible to all communities and societal groups.
Challenges we ran into
Refining the Prompt: One of our initial hurdles was fine-tuning the prompt for optimal performance. This involved extensive research and review of literature and research papers in the field to create a highly effective prompt that could address the problem comprehensively.
Managing Payload Size: During our Proof of Concept (POC) testing, we encountered issues with heavy payloads that affected processing efficiency. To overcome this, we implemented an upload and URL retrieval mechanism, which allowed us to manage data flow more effectively.
Selecting the Best Llama Model: Choosing the right Llama model for our needs required careful consideration of factors like latency, accuracy, and security. After thorough testing and comparison, we selected the model that best aligned with our requirements for a seamless and secure user experience.
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