PROTEAN - AGRI DOCTOR

Samagra-Code for GovTech
  • Virtual Internship
  • 17-Apr-2024
  • Pan India,
  • Start date
    Immediately
  • Duration
    3 Months
  • Stipend
    ₹33000 /month
  • No of Credits
    10
  • Apply by
    08-May-2024
  • Virtual Internship

About the program

Protean Overview Protean eGov Technologies Limited provides IT services The Company offers citizen services egovernance solutions system integration business process reengineering data center colocation and IT consulting services for citizens corporations and the Government We have been modernizing the direct tax infrastructure providing a tax identity to citizens and corporates issuance of PAN card strengthening the oldage social security infrastructure National Pension System NPS Atal Pension Yojna APY promoting financial inclusion by contributing to the India Stack by enrolling citizens for National Identity and enabling the BFSI sector by providing Aadhaarbased identity authentication and eSign services Benefits of this Project 1.Improved agricultural productivity and sustainability through AIdriven recommendations 2.Enhanced accessibility with multilingual support for farmers across India 3.Streamlined development and integration process with welldocumented and tested APIs Description Use publicly available data to build a predictable model to provide personalised prescriptions dietary nutritionally etc predictions The project involves developing robust APIs for an Agronomy app that utilizes AI and ML on historical data to offer personalized agricultural advice and predictive analytics The APIs will enable features such as disease prediction seed and fertilizer recommendations nutrition advice and increased crop yield insights with multilingual support for all Indian regional languages Personalized AgriAdvice API As an agronomist I want to access personalized agricultural advice through API endpoints Tasks 1.Develop API endpoints to provide tailored recommendations based on crop type soil conditions and climate 2.Integrate AIML models to generate personalized agriadvice 3.Test API endpoints with diverse scenarios Disease Prediction and Cure Advisory API As a farmer I want an API to predict crop diseases and recommend cures Tasks 1.Implement API endpoints for disease prediction using AIML algorithms 2.Provide advisory recommendations for disease management 3.Test API accuracy with historical disease data Seed and Fertilizer Recommendations API As a user I want an API to suggest suitable seeds and fertilizers based on my farming requirements Tasks 1.Develop API endpoints for seed and fertilizer recommendations using predictive analytics 2.Integrate AI models to recommend optimal products for specific crops and soil types 3.Validate API performance with realworld farming scenarios Nutrition Advice API As a farmer I want nutrition advice API endpoints for optimal crop growth Tasks 1.Create API endpoints to provide nutrient recommendations based on crop stages and soil health 2.Implement AIML models for nutrient optimization 3.Test API responses against known nutritional requirements Increased Crop Yield Insights API As an agricultural researcher I need API endpoints to analyze and predict factors contributing to increased crop yield Tasks 1.Develop API endpoints to analyze historical data and predict crop yield improvements 2.Integrate AIML models for yield optimization recommendations 3.Validate API accuracy with historical crop yield data Goals MidPoint Milestone MidPoint Goals API Development MidPoint Milestone 1.Completion of API endpoints for personalized agriadvice disease prediction and seedfertilizer recommendations 2.Integration of AIML models with preliminary testing for accuracy and performance 3.Initial Swagger documentation outlining API specifications Final Goals API Integration and Testing Final Goal 1.Full integration of AIML models with all API endpoints for agronomy features 2.Comprehensive testing of APIs with realworld agricultural data to ensure accuracy and reliability 3.Complete Swagger documentation for all API endpoints including descriptions parameters example requestsresponses and usage guidelines Expected Outcome 1.A suite of robust APIs providing personalized agriadvice disease prediction seedfertilizer recommendations nutrition advice and crop yield insights 2.Swagger documentation that facilitates easy integration and usage of the APIs by developers and agricultural stakeholders Acceptance Criteria API Functionality APIs should accurately provide personalized advice disease predictions and recommendations based on AIML models Responses should be timely reliable and culturally sensitive considering all Indian regional languages Swagger Documentation Swagger documentation should comprehensively outline each API endpoint including usage instructions and example scenarios Implementation Details Go NodeJS Python any one technology to be used

Perks

1. Lucrative stipend of INR 1 lakh over a period of 3 months 2. Dedicated 1 on 1 mentorship by industry experts 3. Handson experience to hone your skills 4. Access to bootcamps and expert sessions 5. Potential job extended internship opportunities 6. Opportunity to network with global opensource tech leaders

Who can apply?

Only those candidates can apply who:

  1. are from Any,
  2. and specialisation from Any,
  3. are available for duration of 3 Months
  4. have relevant skills and interests

Terms of Engagement

1. 50000 received on completion of midpoint milestone as decided with mentor 2. 50000 received on completion of final milestone as decided with mentor 3. Certificate of completion received on successful completion of internship

Number of openings

1

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