Biodiversity research in the Himalaya started more two centuries ago which has spent millions of dollars resulting in output of more than 35,000 scientific publications. However, this vast treasure of scientific information has not yet been used in data driven decision making and policy planning broadly due to absence of this information in a spatially explicit form. Thus, the Himalaya is often considered as a data deficient region despite having a large volume of information on biodiversity and other allied subjects. To the best of our knowledge, no efforts have been made so far to curate the available information on Himalayan biodiversity for its usage in decision making and policy. Thus, to fulfill the existing data gaps, the proposed study aims to use modern tools of data and text mining using AI, ML and LLM for curation of published biodiversity information in a spatially explicit manner at village level for 135 districts and 133 Protected Areas in the IHR. This data will further be supplemented with field-based biodiversity data collected through rigorous field surveys along elevational gradients of five Himalayan states of India. The spatially explicit biodiversity information will be used for producing SEEA ecosystem accounts, IUCN Red List indexing of the Himalayan species and improvement of Environmental Performance Index (EPI) of India. The information will further be used to develop a Himalayan Biodiversity Information System (HBIS) in the form of an open access and user-friendly web portal, a DSS for policy makers and an under-friendly App for biodiversity data collection through citizen science.

• Geocoded grid-based database on Himalayan agrobiodiversity and biodiversity at village, district, and protected areas level to develop legacy database for ePBR, districts and PAs.
• Digitized data at species level data with updated species distribution maps.
• Development of ecosystem accounts under SEEA framework and IUCN Red List indexing of Himalayan species.
• Biodiversity indices and data as required for GBIF and other inter-governmental biodiversity related data platforms focusing on improving EPI of India.
• Online and open access web data portal with user friendly interface; Citizen Science based Mobile App with SOP for validating of data.
• Decision Support System (DSS) for use by policy makers and practitioners.
• Stakeholder consultation and capacity building workshops for awareness on SEEA environmental accounting framework, IUCN Red List indexing of species, promotion of HBIS, DSS and mobile App.

• No of New Database (Himalayan Agrobiodiversity and biodiversity) built upon Baseline, and in the requisite format for GBIF and other inter-governmental biodiversity-related data platforms
• No of species data digitized
• Ecosystem accounts under SEEA Framework and IUCN Red List Indexing of Himalayan species (No);
• Web Portal (Online and Open Access); Mobile App enriched with field data (No.);
• Workshops/ Consultations conducted (No.);
• DSS, Knowledge Products (No.) including SOP (No. 01), research articles/ chapters, technical manual, etc.;
• Beneficiaries/ Stakeholders (No.).