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 search functionality with AIMLbased algorithms leading to better user experience and engagement 2.Enhanced inventory management through accurate forecasting resulting in optimized inventory levels and reduced costs 3.Streamlined development process with welldocumented APIs facilitating easier integration and maintenance Description Develop a set of APIs containing AIMLbased search algorithm integration and an Inventory Forecasting System to provide efficient search capabilities and accurate inventory predictions The APIs should be welldocumented using Swagger Documentation and thoroughly tested to ensure reliability and performance AIMLbased Search Algorithm API Integration As a developer I want to integrate an AIMLbased search algorithm API into our system Tasks 1.Research and select suitable AIML search algorithm API 2.Implement API integration into our system 3.Test API functionality for accuracy and performance Inventory Forecasting API Development As a developer I want to create an API for inventory forecasting Tasks 1.Design API endpoints for inventory forecasting 2.Develop AIML models for forecasting 3.Integrate forecasting models into API endpoints 4.Test API functionality with sample data Goals MidPoint Milestone MidPoint Goals AIMLbased Search Algorithm API Integration 1.Completion of AIML search algorithm API integration with basic search functionality 2.Testing of API endpoints for initial accuracy and performance Inventory Forecasting API Development 1.Successful development and integration of API endpoints for inventory forecasting 2.Testing of forecasting API with sample data to ensure accuracy Final Goals AIMLbased Search Algorithm API Integration 1.Full integration of AIMLbased search algorithm API with advanced features such as natural language processing 2.Testing of API endpoints with diverse datasets for accuracy and performance optimization 3.Documentation of API endpoints using Swagger Inventory Forecasting API Development 1.Implementation of advanced features in the inventory forecasting API such as realtime updates and adaptive algorithms 2.Comprehensive testing of forecasting API with data to validate accuracy and reliability 3.Documentation of API endpoints using Swagger Expected Outcome APIs with Advanced Search Functionality APIs integrated with AIMLbased search algorithm offering accurate and efficient product search capabilities Swagger documentation providing clear specifications and usage instructions for API endpoints Inventory Forecasting APIs for Efficient Inventory Management APIs for inventory forecasting integrated into the system providing accurate predictions for optimal inventory management Swagger documentation offering comprehensive documentation of API endpoints including request and response structures Acceptance Criteria AIMLbased Search Algorithm API Integration 1.The API should return relevant results with high accuracy 2.API endpoints should be responsive and efficient providing results in realtime 3.Swagger documentation should be comprehensive detailing each endpoints functionality and usage Inventory Forecasting API Development 1.The forecasting API should provide accurate predictions for inventory levels over a specified period 2.Forecasting API endpoints should be welldocumented in Swagger including request parameters and response structures 3.The system should be able to adapt to changes in demand and provide timely updates for inventory management decisions 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