Mini Project I Review
The Mini Project I Review will be organized with the following objectives: • To evaluate the problem statements and objectives identified by the student project teams. • To assess the technical feasibility and practical relevance of the proposed projects. • To provide industry-oriented guidance on technology selection and project implementation. • To review the proposed system architecture, methodology, modules, and development plan. • To encourage students to identify and address real-world problems through innovative technological solutions. • To guide students in selecting appropriate tools, frameworks, programming languages, databases, and AI/ML techniques. • To create awareness of current industry practices and expectations. • To improve students' technical presentation, communication, and project documentation skills. • To identify possible technical challenges at the initial stage and provide appropriate suggestions for improvement.
Event information
| Date | 2026-10-06 to 2026-10-06 |
|---|---|
| Academic Year | 2026-2027 |
| Department | B.E- Computer Science and Engineering (Artificial Intelligence and Machine Learning) |
| Venue | J203 |
| Participants | 60 |
Related SDGs
Description and outcomes
Industry Mentor Interaction
Mr. Santhosh Kumar E will provide industry-oriented observations and suggestions to the participating students. The interaction will help students understand the difference between developing a project solely for academic evaluation and developing a solution that can address practical user or industry requirements.
The mentor is expected to guide students on important aspects such as:
• Defining a clear and specific problem statement.
• Establishing measurable project objectives.
• Understanding user and functional requirements.
• Selecting appropriate technologies and development frameworks.
• Designing an effective system architecture.
• Following a systematic software development methodology.
• Identifying appropriate datasets for AI/ML-based projects.
• Selecting suitable algorithms and performance metrics.
• Considering scalability, security, usability, and maintainability.
• Developing prototypes and proof-of-concept implementations.
• Planning project milestones and implementation activities.
• Maintaining proper technical documentation.
The interaction will provide students with an opportunity to clarify their technical doubts and obtain professional suggestions before proceeding with the Mini Project implementation and further development activities.
Key outcomes
1. Develop a clearer understanding of their selected project problem.
2. Refine their project objectives based on mentor feedback.
3. Improve the technical feasibility of their proposed solutions.
4. Select suitable technologies based on actual project requirements.
5. Understand the importance of system architecture and modular development.
6. Gain awareness of industry-oriented project development practices.
7. Improve their understanding of AI/ML model development and evaluation, wherever applicable.
8. Identify potential implementation challenges at an early stage.
9. Improve technical presentation and professional communication skills.
10. Prepare a structured roadmap for successful Mini Project implementation and completion.