Devpost
Participate in our public hackathons
Devpost for Teams
Access your company's private hackathons
Grow your developer ecosystem and promote your platform
Drive innovation, collaboration, and retention within your organization
By use case
Blog
Insights into hackathon planning and participation
Customer stories
Inspiration from peers and other industry leaders
Planning guides
Best practices for planning online and in-person hackathons
Webinars & events
Upcoming events and on-demand recordings
Help desk
Common questions and support documentation
EthnoAnatolia CrossRef brings together De Materia Medica and TEMDB data on a single platform to compare the ancient and modern uses of Anatolian medicinal plants.
GeoPharm is an AI-powered platform that connects medicinal plants, chemical compounds, proteins, and diseases to identify promising candidates for future drug discovery
Ìtàn helps you check a claim about a medicinal plant and see what the research found, who it studied, and what is still unclear.
A Study-Aware Framework for Reliable Bioactivity Prediction and Experimental Evidence Assessment in Natural Product Drug Discovery
Explore, on paper, what moving a gene between two medicinal plants could mean: compares real genomes, rates the evidence, and never claims more than the science supports.
Evidence-graded herb–drug interaction checker for pharmacists: every warning cites its source, and missing evidence is never called “safe.”
EthnoTrace connects historical medicinal knowledge with modern botanical species and scientific research through an explainable Knowledge Graph, preserving evidence and uncertainty across centuries.
Ethno_PAIR is a computational chemistry project that builds structure-based QSAR models to identify natural products with synergistic anti-inflammatory activity.
A preparation-aware knowledge graph that mines traditional plant remedies and filters bioactive molecules by solvent polarity, heat stability, and safety.
Turning centuries of historical plant knowledge into a searchable archive with AI, where every fact stays beside the passage it came from.
PhyThera connects clinical evidence, EMA/HMPC support and traditional sources to make medicinal-plant evidence searchable, transparent and comparable for health care professionals (e.g. pharmacists)
Which plant did Dioscorides mean? Claude repeats the Kew/ZHAW plant-identity method on the Greek of De materia medica, and every step is scored against the experts' own data.
A lab can make fifty compounds, not a hundred thousand. We rank 97,709 untested plant compounds against three bacteria and shortlist 150, each with a measured number saying how much to trust it.
What if a pomegranate held clues to Alzheimer's research? POMENOVA brings Tunisian nature and AI together to explore molecules with potential to inhibit acetylcholinesterase.
From Sacred Forest to In-Silico Cure: Computational Ethnopharmacology Powered by AI.
LabelLens reads a herbal product’s label and tells pharmacists whether the EU monograph evidence applies to that exact preparation, plus what the label leaves out.
OmniPhyto is a dual-pipeline web tool screening plant compounds for efficacy and off-target toxicity. We fuse ML, docking, and MD to find safe, potent natural drug leads.
Type a plant's name the way your grandmother says it: see how communities in Kosovo and Albania use it, the study behind every line, and whether science ever tested it.
The plants that founded Western pharmacy, mapped then and now: what we stand to lose, and where to save it
Trace plant-use reports from source passage to reviewed evidence, preserving citations, name uncertainty, and every extraction decision.
We model how suitable climate for five Balkan medicinal plants could change by 2041–2060 and rank same-family plants with similar chemistry, with EU monograph evidence, as research candidates.
Which wild medicinal plants of the Philippines need help first, where to look next, and how sure we are, cross-checked against World Flora Online and Co's Digital Flora.
An AI-powered platform using machine learning and cheminformatics to discover promising plant-derived compounds for drug development.
A transparent computational screen that prioritises plant compounds for investigation of paracetamol-related pain pathways while flagging potential chemical liabilities.
1 – 24 of 41
