Toggle
Open Government Data (OGD) Platform India Community logo

Home / Sample Sector Problem Statements

Sample Problem Statements for #OpenGovDataHack

Health

  • Application on Blood Bank Tracker
  • Application on Performance Indicators of Health Management Information System (HMIS)
    (This application may enable to evaluate performances of health centres i.e. Sub centres, primary health centres, community health centres and district health centres across India on various indicators like Immunization, maternity care, Sex Ratio , Post Natal Care, family planning parameters etc.)
  • Application on Hospital Directory
  • Health Surveys information retrieval and other data triangulation
    (It can be useful to disseminate information that is produced through the surveys NFHS-1,2,3,4 ; DLHS-1,2,3,4 and AHS 1,2,3 which are already available on OGD platform. Various indicators like Mortality, Nutrition, Vaccinations, Disease, and Immunization etc. may be triangulated, displayed and analyzed. It would be helpful to understand performance of health indicators of the country.)

Datasets

Education

  • Standard Course Curriculum Design for all the Universities across India
    (To develop an application to map structure, content and scheme of the courses at present run by affiliated Universities and map important features and compare with a standard curriculum of highest standard. This would help AICTE to develop and enforce uniform academic)
  • Mobile app (GIS based) to find out Universities, Colleges, Standalone Institutions and related information i.e. Course Offered, Infrastructure etc.
  • Evaluation and Analysis of Enrolment, Literacy, Dropout

Datasets

Transport

  • Ambulance Service on National Highway
  • Mobile Applications on Road Accidents Data
    (This application would be helpful to understand road accidents status, and detail analysis and graphical representation would be helpful for road safety management and to understand major risk factors increasing the severity of crash and injury)
  • A time series category-wise, state-wise road length
    (This application can be helpful to get an overall view of road network across India, and to understand the need of expansion of the network using other socio economic parameters)
  • Applications on Terminal/Flight wise Arrival, Departure time
  • Application on Train Timetable

Datasets

  • Applications on Terminal/Flight wise Arrival, Departure time
  • Flight Schedule

Drinking Water and Sanitation

  • Application to track Physical and Financial performance under National Rural Drinking Water Programme (For monitoring and evaluating the achievement)
  • Digital solutions to evaluate the pollution and pressure on wetlands and water bodies and its conservation (Our water bodies, especially those of the urban areas are under increasing threat due to pollution and anthropogenic pressure. As we have many colleges in cities and town, they can be motivated to do the pollution monitoring in a real time basis and the data can be integrated in to an assessment-warning-management suggestion system.)
  • Application to track target and achievement of Swachh Bharat Mission (To monitoring and evaluating the achievement)
  • Water Quality Affected Habitations (To provide safe drinking water in water quality affected habitations with priority to arsenic and fluoride affected habitations)
  • Application and analysis on water quality of river, creeks & canal, lake, pond & tank, ground water (This would help to o assess water quality relate to health of ecosystems, safety of human contact etc.)

Datasets

Crime

  • Application on Crime Against Women and Children
    (To provide immediate intervention and assistance to women and children in crisis and alarming message send to nearest police station with geolocation of victim)
  • Application on Accidental Deaths & Suicide
    (To identify the accident prone areas in the city or spots on roads where more fatal or non-fatal accidents have taken place to avoid accidents)
  • Crime head-wise analysis tools (To merge the data of different year)

Datasets