Ayurveda, the Indian ethnic medical system is one of the most ancient living traditions. Ayurvedic system follows a holistic approach to health and disease solely relying on natural remedies using plants and minerals. Ayurveda emphasis on strict living principles and guidelines for a healthy body, giving more importance to the diet and daily exercise. There were few attempts to consolidate this invaluable data into the digital format but there were no futuristic platforms available which can link the science of Ayurveda to the modern science. The platform we propose and is currently under development intends to bridge this gap is designed in a way that it will use all the innovative technologies like machine learning, improved database engines, statistical algorithms etc. to combine the power of Ayurveda with the modern research. How ICT can help to understand the Ayurveda better We all know that over the past 3-4 decades information technology have grown really huge and had nourished all the scientific fields. But when it comes to Ayurveda, it got nothing much to offer than some basic information portals. If we can develop a system which is powerful to interpret and analyze the Ayurveda science to give detailed information on disease pathway, protein interactions, biochemical and pharmacological level data, toxicity level of the ingredients etc., the possibilities are endless. Ayurveda consider a disease as a state of imbalance which is an after effect of an imbalance in one’s body and mental elements. So if this imbalance is corrected then the body will regain the immunity and try to eliminate the disease. So in case of a researcher who does not have any Ayurveda background, and wants to use an Ayurvedic technique he will have to understand the concept of Ayurveda first which most of the time contradicts with that of the western medicine. If we have a platform as proposed this time to get in line and also to identify the possible targets for further research will be reduced considerably as he will be communicating in his language (of terms) to the system and the system will internally handle it to get the relevant information from the Ayurvedic context. Linking Ayurveda to similar practices In some Asian and African countries, up to 80% of the population relies on traditional medicine and there exists a number other systems like, Siddha and Unani which are practiced in India and there is Chinese, Japanese, Korean, Arabic and African traditional medicine approaches. We could extend the software to relate each the practices and the outcome will be something which can spread light into thousands of years of research and interpretation which is tried and tested over all these period. Architecting the platform The platform will be having multiple components interconnected with each other to interpret, analyse, store and search the data. Its data components will be really vast as it will be having data from Ayurveda, Plant Science, BioChemical information, Genome Information, Protein and Enzyme information, Disease pathways, existing western formulations. There will be underlying statistical algorithms to do effective predictions based on these data, like identifying a list of possible targets for a particular disease condition. We could also make use of the advancements in Machine Learning to make this this platform better.