Free, browser-based tools that make research work faster, clearer, and more accessible. No account required.
Cite with confidence. Format references in APA, IEEE, MLA, Chicago, Harvard and more, right in your browser.
Open tool →A free citation learning and formatting tool. Build, compare, and understand citations for every major style, all locally in your browser.
Design research-grade surveys with built-in validity checks and response analysis. No backend needed.
A structured tool for systematic literature reviews. Track sources, themes, and synthesis in one place.
We partner with organizations, institutions, and independent researchers to design and conduct rigorous, human-centered research.
Comprehensive, systematic reviews of existing research. We map the landscape of a field, identify gaps, and synthesize findings into clear, actionable summaries that anchor your work.
From question construction to sampling strategy and statistical analysis, we design surveys that yield reliable, meaningful data and help you interpret what it all means.
Qualitative coding, thematic analysis, regression, and mixed-methods approaches. We work with your existing data or help you design collection instruments from scratch.
End-to-end research partnership, from defining your research question through methodology selection, ethics review, fieldwork, and final reporting tailored for your audience.
Agriculture Technology
About 65 percent of Nepal's population depends on agriculture, with pigeon pea ('Rahar') being a key legume crop. This study presents an end-to-end mobile application for real-time pigeon pea disease classification. A self-collected dataset of 7,930 leaf images was used to train a VGG16-based deep learning model, achieving 98 percent accuracy and an F1-score of 94 percent.
Read paper →Embedded Systems
This paper proposes "DrowsyDriveNet," a hybrid deep learning architecture classifying driver alertness into four stages: Alert, Slight, Moderate, and Severe. The architecture combines a frozen MobileNetV2 feature extractor with CNN and Bidirectional LSTM networks for spatial-temporal analysis.
Read paper →AI & ML
A reliable fault classification system for transmission lines using a hybrid approach combining symmetrical components and wavelet transform time-frequency analysis. A comparative study of machine learning models and neural networks is presented.
Read paper →Embedded Systems
A prototype that dispenses sanitary pads based on female student IDs stored in a CSV file, with cloud integration and remote health monitoring via IoT. The system aims to improve menstrual hygiene access in workplaces and public institutions.
Read paper →At Readime, every question we ask begins and ends with people. We believe rigorous inquiry, when grounded in empathy and curiosity, can illuminate paths toward a more equitable and thoughtful world.
Our research agenda is set by questions, not funding pressures. We operate without institutional bias so findings remain honest and actionable.
We publish our work openly and welcome scrutiny. Knowledge only grows through sharing, critique, and collaboration across disciplines.
The hardest problems resist single-discipline thinking. Our researchers bring together sociology, cognitive science, technology, and ethics.
Human experience is not uniform. Our research is rooted in diverse geographic, cultural, and socioeconomic contexts, not just dominant narratives.
We welcome questions from readers, researchers, journalists, and institutions. Whether you want to discuss our findings, propose a joint research topic, or simply get in touch, drop us a line.
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