Pune

This project proposes to set up an AI Incubation and Skills Development Centre through the Pune Knowledge Cluster (PKC). The objectives of the centre will be to use

• Use Artificial Intelligence (AI) based techniques to enable livelihood generation,
• To enable technology development in the AI sector which will also generate livelihoods for certain sections of people
• Provide avenues for AI-related skill development. The first two objectives will be addressed by building a strong ecosystem for young entrepreneurs, while the third will be met through hands-on courses and internships preparing graduates from the engineering and science streams for employment.

Specific programmes in a few sectors will be undertaken to meet these objectives. Scaling to other sectors and regions will be considered later in the programme. The functions of the Centre will be carried out by a core staff aided by experts from PKC knowledge partners. The main knowledge partner for the incubation will be the Digital Impact Square (DISq) at Nashik, Maharashtra. The PKC will provide coordination, high-level oversight, find knowledge partners and will seek funding from various sources. The current proposal is for a five-year timeframe. 

• 2,255 Lakhs

• 60 Months

For details

This project uses a science and technology based approach to climate resilience. Its two-pronged strategy, will be piloted in the Pune region. Strategy:

• Part (A) Reduce the greenhouse gas (GHG) emissions from vehicles to the best extent possible: These would be reduced through mobility interventions.
•  Part (B) Create a sink (tree plantation) for the residual emissions: Leveraging the data for the tree census of Pune, this part of the project will estimate the carbon sequestration capacity for the region in the coming 3-10 years. It would also serve as a decision tool for urban planning.
• Part (A) and part (B) are conceived as two separate workstreams. Part B of the project has commenced and this brief is regarding part B

The key modules of this project (part B) include (i) model plantation by land use category (ii) sapling adoption (iii) Tree recruitment – data collection & mapping (iv) tree mortality measurement (iv) tree growth measurements and data modelling. The carbon sequestration capacity of the current tree stand and projected capacity (with predictive modelling) will be available. Once the emission data is available, this tool will create a prescription for tree plantation. This tool will assist the smart cities in India with Pune region serving as the pilot.

This project will be collaboratively delivered by the Centre for Ecological Sciences, IISc, Bangalore, Department of Botany & Statistics, SP Pune University, Agharkar Research Institute, Wildlife Research & Conservation Society and the Pune Knowledge Cluster. The participatory components will leverage ecology/biology students and volunteers from local communities.

• 222 Lakhs

• 36 Months

For details

The overarching aim of this project is to establish an integrated scalable epidemiological database in Pune district. The development of such a scalable, secure, open-source, and interoperable database will help strengthen the health systems through responsive and evidence-based decisions on all public health policies.
The project will be consist of three main objectives

• Objective 1: Assessment of landscape of data sources in public health systems. 
•  Objective 2: Design and build epidemiologic database module for acute febrile illnesses
•  Objective 3: Develop and implement machine learning algorithm for identification of disease outbreaks.

The first objective will involve the collection of information related to status of the reportable diseases, data capture modes, data storage and common variables recorded across different public sector health facilities.  
The results will provide a basic understanding of the status of the reportable diseases, data capture modes, data storage and common variables recorded across different public sector health facilities. Furthermore, this will identify the scope of the PEP-DATA project  
Once the database is developed and implemented in Pune City, it can be scalable to include other diseases and implemented at a national level.

• 166.74 Lakhs

• 12 Months

For details

• An Integrated Conservation and Management Plan (ICMP) for the biodiversity park is developed through stakeholder participation.
• The watershed interventions, irrigation facilities and micro-irrigation are implemented to ensure survival of plantations and sustainability of other activities.
• Increased biodiversity in the project site. 
• Reduced dependency of local people on reserve forest
• Increased community participation and self-sustenance of the site is ensured.
• The project site is proposed to be declared as a protected area.

• 5,000 Lakhs

• 60 Months

For details