The problem PregaCare solves

Healthcare access in rural areas faces numerous challenges, including geographical isolation, transportation difficulties, limited healthcare awareness, a shortage of medical professionals, and financial constraints. A study published in the Journal of Medical Internet Research highlights the potential of AI-based decision-support tools to enhance the accuracy and efficiency of telemedicine in rural settings. Recent advancements in artificial intelligence have opened new avenues to bridge this healthcare divide.

AI tools, including telemedicine platforms, chatbots, and diagnostic algorithms, offer the potential to deliver timely and accurate healthcare to patients in remote areas. These technologies can help mitigate the effects of limited healthcare personnel, distance from medical facilities, and inadequate healthcare funding, providing a promising solution to the unique healthcare challenges faced by rural populations.

Challenges we ran into

Expanding healthcare in rural India has posed several challenges for our team. The primary technical hurdle has been integrating multiple AI models and deploying them using Flask, which requires careful synchronization to work seamlessly in low-connectivity areas. Additionally, we face infrastructure limitations, as many rural areas lack the robust internet and hardware necessary for complex AI processes. Culturally, our solution must be sensitive to the traditional family dynamics that impact women’s healthcare in these regions, balancing patient privacy with family involvement. Encouraging adoption has also been challenging, as communities may have limited familiarity with digital healthcare solutions. Further, resource constraints have required us to focus on developing low-cost yet effective models to ensure long-term sustainability. Lastly, scalability remains essential for extending our solution to diverse rural regions while keeping operational costs manageable. Each of these factors has driven us to find innovative, adaptable, and culturally aware approaches to bridge the healthcare divide in underserved areas.