| Grand Winner |
Team Pookie Blinders |
PhysioNep |
The Winning project of MBM IdeaX 2024,The Pookie Blinders team has proposed a healthcare solution that assists patients in performing physiotherapy exercises safely and effectively at home. Their system uses computer vision and machine learning to detect posture and angle deviations in real-time through a device's camera. Immediate visual and auditory feedback guides users to correct their form, reducing injury risk and improving exercise quality. Personalized exercise plans are generated based on doctors' recommendations, and user progress is tracked and reported. The project targets millions needing physiotherapy globally, addressing delays and inefficiencies in traditional clinic visits. The app is cost-effective, accessible, and scalable, using technologies like React, Node.js, MongoDB, MediaPipe, and OpenCV. It aims to improve rehabilitation outcomes and lessen the burden on physiotherapy clinics.
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| Track Winner (OPEN) |
Team Batti Balyo |
Home Link |
Team Batti Balyo proposes a Smart Home Automation System that enhances convenience, energy efficiency, and security using affordable IoT technology. The system uses NodeMCU for device control, Firebase for real-time data management, and React for building responsive web and mobile apps. Users can control appliances via Google Assistant, custom chatbots, or a dedicated app. It allows real-time monitoring and management of home devices from anywhere. The solution is scalable, cost-effective, and adaptable to different home settings, making smart home technology accessible to a wider audience.
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| Track Winner (HEALTHCARE) |
Team Ayla |
Shishu |
Team Ayla addresses the high rate of child anemia in Nepal by creating an educational health app for children and parents. The app features interactive games to teach children about nutrition and vaccinations, while also offering AI-powered personalized diet plans and a vaccination tracker for parents. It aims to promote health awareness from a young age to prevent long-term health issues. The solution will be integrated into schools and community programs to ensure broader access. Built using React Native, Firebase, and Python, the app is scalable, cost-effective, and accessible across platforms.
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| Track Winner (FIN-TECH) |
Team Rakucasm |
Finlytic |
Finlytic is an AI-powered tax compliance tool designed for Nepali SMEs, addressing challenges like complex tax regulations and resource constraints. It offers automated expense categorization, real-time compliance checks, and email notifications for tax deadlines. The web-based platform aims to reduce manual processes, lower dependency on external consultants, and will be available via an affordable subscription. Focusing on core functionalities for the hackathon, it emphasizes a user-centric design. Key technologies include Machine Learning, Next.js, FastAPI, Supabase, and SMTP. The project seeks to empower SMEs, reduce costs, and support business growth in a competitive market.
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| Track Winner (ENVIRONMENT) |
Team 404 Brain Not Found |
Eco Scan |
EcoScan is an AI-powered recycling assistant app designed to address the confusion and contamination in recycling streams due to complex and varying guidelines. The app utilizes image recognition to identify items and provide instant, location-specific recycling instructions. Key features include image recognition, localized recycling guidelines, gamification to encourage participation, and an impact tracker to show environmental contributions. EcoScan aims to make recycling more engaging, accessible, and effective through educational content and real-time feedback. The project is practical due to its versatility, adaptability to different regions, scalability using technologies like Flutter, Django, MongoDB/PostgreSQL, and Python for ML, and cost-effectiveness by leveraging existing devices.
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| Track Winner (TRAVEL AND TOURISM) |
Team Matrix |
House Me |
House Me is a digital travel platform aimed at tapping into Nepal's domestic tourism market, specifically by offering home-like accommodations. It addresses challenges like limited tailored packages and inconsistent service quality by providing customizable and affordable options. The platform's unique selling proposition is the ability to search for homestays by location, date, and time, serving as a marketplace for house owners and small travel businesses. AI implementation is planned for personalized travel suggestions. The project is practical due to growing interest in domestic travel and increasing digital adoption in Nepal, also supporting local businesses. Technologies used include Jetpack Compose for UI, Kotlin for backend, and Firebase for real-time database, authentication, hosting, and serverless functions.
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| Track Winner (AGRO-TECH) |
Team Botanical |
Agro-Shiksya |
Agro-Shiksya is a web-based platform that empowers agripreneurs by providing comprehensive tools to overcome challenges in accessing resources, business planning, and community support. It features user profiles, business planning tools with cost estimators, educational content with gamification, a community forum, and real-time market trend and price tracking. The platform, accessible on various devices with multilingual support, aims to integrate with agricultural networks and government bodies. Designed for versatility, scalability, and cost-effectiveness, it leverages React.js, MongoDB, Node.js, Chart.js, and AWS. Ultimately, Agro-Shiksya seeks to revolutionize agricultural decision-making and empower users for success in modern farming.
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