A robotics squad from Bhatkal that competed in the National Robotics League 2025 at IIT Bombay and won the Community Champions Award.
Projects Directory
Explore the projects, full-stack tools, computing intelligence experiments, and initiatives engineered across the RELYBAL ecosystem.
A Minecraft-style personal portfolio website presenting background, student projects, and engineering initiatives.
A planned digital tool for interactive card experiences and digital networking, currently in early planning.
An in development behavioural research platform for designing consent-based psychology experiments, collecting participant responses, and analysing decision-making, attention, and behavioural patterns.
An in development private mood-tracking application that helps users record emotions, sleep, and personal notes, then explore patterns in their own wellbeing data over time.
A planned application security platform that helps developers identify common security misconfigurations, track vulnerable dependencies, and manage remediation across software projects.
A planned cloud operations dashboard for monitoring application uptime, infrastructure costs, resource utilisation, service health, and deployment performance.
A planned workflow automation platform that lets users connect triggers, APIs, scheduled tasks, and actions to automate repetitive business and personal workflows.
A planned business intelligence platform that converts structured datasets into interactive dashboards, reports, filtered views, and decision-ready insights.
A planned universal IoT platform for connecting compatible devices, collecting real-time telemetry, managing sensors, and creating monitoring dashboards with alerts and APIs.
A planned focus and habit-tracking application that helps users record study sessions, distractions, routines, and perceived concentration to understand their productivity patterns.
A planned predictive analytics platform for training and comparing forecasting and classification models, evaluating their accuracy, and analysing prediction errors on structured datasets.
A planned personal finance analytics application that helps users categorise expenses, compare spending with budgets, analyse monthly trends, and forecast cash flow.