This is to certify that Mr/Mrs. Pranshu Tyagi with registration number (21Bce1271) has completed his/her Value Added Course from 21 August 2023 to 21 November 2023 with Artificial Intelligence and Machine Learning as the specialization and secured 85.35 out of 100 in the overall performance score as given below
Metrics | Sub-Evaluation Metrics & Scoring Criteria | Weightage | Total Score | Your Score |
---|---|---|---|---|
Assignments & Quizzes | Quizzes (Total – 4 Nos.) | 2 | 10 | 8.15 |
Assignment-1 | 2 | |||
Assignment-2 | 2 | |||
Assignment-3 | 2 | |||
Assignment-4 | 2 | |||
Innovation & Problem Solving | 1. Empathise & discover | 5 | 10 | 8 |
2. Brainstorm & Prioritize Ideas | 5 | |||
Project Design using Design Thinking | 1. Proposed solution | 3 | 6 | 3.5 |
2. Solution Architecture | 3 | |||
Requirement Analysis using Critical Thinking | Determine the Requirements (Data Flow Diagram) | 4 | 4 | 2.5 |
Technology Stack | 1. Technical Architecture | 1 | 2.5 | 1.8 |
2. Open Source Frameworks | 0.5 | |||
3. Third-party API’s | 0.5 | |||
4. Cloud Deployment | 0.5 | |||
Project Planning | Project Planning Details | 2.5 | 2.5 | 2.5 |
Coding & Solutioning | 1. No. of Functional Features included in the solution | 3 | 15 | 14.2 |
2. Code-Layout, Readability and Reusability | 3 | |||
3. Utilization of Algorithms, Dynamic Programming, Optimal Memory Utilization | 3 | |||
4. Debugging & Traceability | 3 | |||
5. Exception Handling | 3 | |||
Solution Performance | For Android Application Development and AI for Cyber Security with IBM Qradar Application Performance MetricsError rates For Artificial Intelligence and machine Learning Model Performance Metrics For Data Analytics Dashboard & User Story Metrics (Data Analytics) |
5 | 5 | 5 |
Project Documentation | Project Documentation | 5 | 5 | 4.5 |
Project Demonstration | Project Demonstration | 5 | 5 | 3.2 |
Grand Assessment | Grand Assessment | 30 | 30 | 30 |
Attendance | Attendance | 5 | 5 | 2 |
Overall | 100 | 85.35 |