Palmingo – Sri Lankan Sign Language Gaming Application
Palmingo is an interactive mobile gaming application designed to teach *Sri Lankan Sign Language (SSL)* to children, especially those who are deaf or hard of hearing. It aims to bridge the communication gap by offering an engaging, gamified platform where children can learn SSL in a fun and accessible way. For children with hearing disabilities, Palmingo is more than just a game—it’s a gateway to communication, education, and self-expression. Through structured levels, challenges, and real-time gesture recognition, the app empowers users to practice signs, gain confidence, and receive feedback, which is crucial for mastering sign language.
Palmingo also serves a larger societal purpose. It raises awareness about the deaf community and promotes inclusivity by encouraging peers, parents, and educators to learn SSL alongside children. In doing so, it helps create a more empathetic and connected society where language barriers are reduced and equal opportunities in education and social participation are fostered.
As a team, we collaborated across disciplines—from design and animation to coding, testing, and research. We used tools like Unity, MediaPipe, and Blender to bring the idea to life, while engaging with experts and the deaf community for authentic feedback. Despite challenges, we stayed committed to our vision. Through teamwork, dedication, and innovation, we developed Palmingo not just as a technical project, but as a heartfelt contribution toward inclusivity and empowerment for children and the society they belong to.
CleanSoft
CleanSoft is an advanced Municipal Solid Waste Generation Prediction and Management System, purpose-built for the urban context of Dehiwala-Mount Lavinia, Sri Lanka. With the flexibility to scale across other municipalities. The platform leverages state-of-the-art machine learning models to accurately forecast daily waste generation for both households and hospitals, incorporating dynamic factors such as weather, patient counts, and seasonal trends. By integrating a bidirectional Dijkstra algorithm with real-world OpenStreetMap data, CleanSoft optimizes waste collection routes. The system’s multi-driver allocation further enhances efficiency.
A core feature of CleanSoft is its Retrieval-Augmented Generation (RAG) chatbot, which streamlines communication between citizens and municipal authorities. This AI-powered assistant enables residents to submit complaints, provide feedback, and receive timely waste management guidance, while also generating actionable summaries for administrators.
Designed with a modular, scalable architecture and a user-friendly web interface, CleanSoft ensures secure, role-based access for administrators, drivers, and citizens. CleanSoft delivers a comprehensive, data-driven approach to smarter, cleaner, and more responsive urban waste management.
PredicTea
Due to a lack of timely market data and a dependence on extinct forecasting methods, the Sri Lankan tea industry faces difficulties in effectively anticipating tea prices before harvest. This leads to uncertain pricing, which affects exporters’ profitability and farmers’ financial stability. To build a system to solve this problem, requires careful consideration of several key factors. Which include, global demand and supply, local weather patterns and currency exchange rate.
PredicTea is an AI powered tool designed to forecast tea prices using data-driven insights. It analyzes historical trends, market conditions, and external factors like currency fluctuations and weather indicators to provide accurate price predictions. The goal is to help tea industry stakeholders, such as farmers, traders, and exporters, make informed decisions about production, sales, and negotiate better deals by anticipating market fluctuations.
PredicTea is carefully designed using modern technologies to ensure accuracy, efficiency, and a seamless user experience. At its core, it is built with technologies like React, NodeJS, MongoDB and Python providing a smooth and interactive interface where users can explore tea price forecasts, access customizable reports, and analyze price trend charts. Every element of the interface is designed with simplicity in mind, allowing tea exporters and brokers to access insights effortlessly.
InsightHive – A Multimodal Engagement Analysis Tool for E – Commerce SMEs
This is an application which will play a crucial role in improving the business strategies of
small to larger scaled businesses. Our system mainly focuses on helping the business to get
a clearer understanding of their customer base and increasing the business growth through
several components. Our system identifies separate segments of customers from specific
characteristics, predicting how much the customer will engage with their strategies,
sentiments of their customer base from different aspects and a fully-fledged product
recommendation system.
Small and medium scale businesses form the backbone to world’s economy; a situation
that fell apart when small businesses ran into hardships attaining target audience, reduce
visibility, and reduced sales between 2019 and 2020. The chief problem is that you don’t
have the capability to pinpoint the customer groups, understand the behavior and translate
the data into the marketing approach. To tackle this problem, in the proposed solution, it
analyses purchasing patterns, segments the customers, predicts customer engagement,
performs sentiment analysis and comes up with the personalized recommendation. The aim
of this approach is to improve the product reach and better customer targeting in order for
the businesses to meet the market demands, improve sales, and achieve sustainable growth.
TrueMortem
TrueMortem is an AI-driven cause-of-death prediction and analysis system focused on identifying whether a person’s death was due to heart-related conditions. The project was developed in response to the growing need for data-driven support tools in forensic pathology, particularly in Sri Lanka, where standardized digital postmortem analysis is lacking. TrueMortem utilizes two distinct models trained on different data sources: a structured postmortem dataset manually curated from Kurunegala General Hospital, and a verbal autopsy dataset obtained from the PHMRC Gold Standard VA database.
The postmortem model processes medical findings such as internal organ damage, external injuries, and demographics using machine learning algorithms. After experimenting with various models, Random Forest was selected for its superior performance, interpretability, and ability to handle missing data. The verbal autopsy model, designed to work with questionnaire-based data, uses an ensemble of Random Forest, SVM and LightGBM for improved accuracy.
The system features a React-based frontend, a FastAPI backend, and a RASA-powered chatbot integrated with an LLM to answer user queries. An interactive dashboard presents prediction results, confidence scores, and feature importance using SHAP values for transparency.
TrueMortem ensures data security, complies with ethical standards, and addresses legal requirements for sensitive medical data. While currently focused on heart-related deaths, the system is modular and scalable, paving the way for future expansion to other causes of death. It stands as Sri Lanka’s first AI-powered mortality analysis tool, supporting forensic experts and public health officials in making informed, evidence-based decisions.
Cultiveer
Cultiveer is a smart agriculture platform that combines IoT technology with mobile accessibility to support both commercial rice farmers and urban home growers. It aims to modernize farming in Sri Lanka by delivering tailored, data-driven insights to farmers while promoting sustainable, self-sufficient gardening in cities.
At its core, Cultiveer uses real-time data from IoT devices to monitor soil nutrients (NPK), moisture, and environmental conditions. For rice farmers, this means accurate fertilizer recommendations, crop-specific guidance, harvest yield predictions, and cost tracking. One Cultiveer device can serve up to 100 farmers, making it highly scalable and cost-effective in rural areas.
For urban users, Cultiveer introduces a broader smart farming ecosystem, with the Smart Pot as its starting point. This indoor gardening system automates and guides plant care with real-time health monitoring, crop suggestions based on indoor conditions, and meal coverage predictions-making food-growing more practical and rewarding for city dwellers.
Cultiveer’s goal is not just automation but an engaging and educational experience for users with limited space and time. The ecosystem is designed to expand, with future features like companion tools, guided planting routines, and smart integrations to simplify home farming.
To support this, Cultiveer includes a centralized marketplace for seeds, tools, and accessories. With a working prototype developed in partnership with hardware sponsor Lionbit Solutions, Cultiveer is already demonstrating its potential to transform both commercial and household agriculture into a smarter, more sustainable practice.
LEXi
Problem Statement
Individuals with dyslexia often struggle with traditional educational tools due to difficulties in reading, comprehension, and language processing. Existing solutions lack adaptability, accessibility, and personalized support, making it harder for dyslexic learners to receive effective, inclusive education.
Solution
Lexi is an AI-powered assistive learning platform designed specifically for individuals with dyslexia. It features adaptive dyslexia detection, gamified learning, text-to-speech, real-time pronunciation feedback, and a dyslexia-friendly UI. By integrating AI, cloud technologies, and accessibility principles, Lexi offers a personalized, inclusive, and scalable digital learning experience.
Resilify
Obsessive-Compulsive Disorder (OCD) affects over 80 million people globally, with intrusive thoughts impacting more than 90% of patients—and even up to 94% of the general population at some point. Despite the effectiveness of treatments like Cognitive Behavioral Therapy (CBT) and Exposure and Response Prevention (ERP), dropout rates remain alarmingly high. Many individuals face emotional overwhelm, stigma, and a lack of engaging tools to support them outside therapy sessions. The result is a significant gap between clinical treatment and real-world recovery.
Resilify is an AI-powered mobile platform designed to bridge this gap. Combining clinically validated OCD management techniques with gamification, personalization, and AI-driven features, Resilify transforms recovery into a daily, accessible, and empowering experience. Key features include cognitive reframing tools, interactive ERP tasks, guided mindfulness, and personalized progress tracking. Its unique Thrive & Grow section offers myth-busting articles, rewards, and success stories to boost engagement.
Resilify’s upcoming features expand support further: compulsion-tracking tools, a global therapist marketplace, voice input, and immersive AR/VR therapy. The app is scalable across mobile-first markets and underserved regions. Built by a passionate team of undergraduates in collaboration with mental health professionals, Resilify is not just a product—it’s a movement to make consistent, compassionate, and cutting-edge mental health support universally accessible.
Project KYAN – Robot Companion for Self-Studying
Project Kyan is a smart, student-focused study companion created to make learning more engaging, organized, and effective. Designed especially for students who often study alone or struggle with motivation, Kyan brings a friendly and supportive presence to any study environment. It offers gentle reminders, personalized encouragement, and interactive features that help build consistency and focus—turning study time into something students actually look forward to. Whether it’s tracking progress, celebrating milestones, or offering tips to stay on track, Kyan is there every step of the way. By combining the feel of a personal mentor with the convenience of modern technology, Kyan helps students stay committed to their academic goals in a fun and non-intrusive way. It encourages healthy study habits, reduces procrastination, and adds a sense of companionship during long or challenging study sessions. What makes Kyan truly special is its student-centered design—every feature is built to support real learning experiences, not just manage time. It’s ideal for anyone looking to improve their study routine without the pressure of strict schedules or overwhelming systems. Whether used at home, in the library, or even in group settings, Kyan adapts to the learner’s pace and style, making it an ideal partner for both short-term assignments and long-term academic success. With Project Kyan, studying becomes less of a task and more of a journey—motivated, mindful, and supported every step of the way.
SkillBridge
Skill Bridge is a mobile application designed to support children with special needs—such as Autism, ADHD, and Down syndrome—in learning basic life skills, simple vocational tasks, and improving their executive functioning. These children often struggle with traditional classroom teaching methods or standard educational apps that do not match their cognitive needs. Skill Bridge addresses this issue by offering structured, guided learning through Finn, a friendly, voice-powered axolotl character who explains tasks step by step.
The app features picture-based instructions, clear voice guidance, and interactive mini-games. It helps children practice vocational tasks like typing and stitching as well as real-life skills like withdrawing money from an ATM and crossing the road. It also includes computer vision-based games that use the device’s camera to support the improvement of executive functioning. The app also contains other executive functioning games to help with memory holding and planning.
Parents and teachers can track each child’s progress using a simple dashboard. A built-in community forum allows families and educators to connect, share experiences, and offer support. The app is built with React Native and Firebase, making it compatible across platforms while keeping user data secure. It also works offline, making it accessible in areas with limited internet access.
Skill Bridge promotes inclusive education and aligns with SDG 4 (Quality Education) and SDG 10 (Reduced Inequality). It is not just a learning tool but a practical support system for families and professionals supporting children with special needs.