• Eligibility Screening: Candidates submit their application by filling up the internship request form
• Selection Process: Candidates submit their application by filling up the internship request form
  • Attend Internship Counselling
  • Appear for Eligibility Test
  • Final HR interview (focus on communication, teamwork, and career goals).

• Orientation session to familiarize interns with company policies, culture, and expectations.
• Assignment of mentors to provide guidance throughout the program.
• Tools and technology setup (software, hardware, and required credentials).
• Training sessions allocation.

• Assist in researching state-of-the-art machine learning and AI methodologies.
• Explore and evaluate new tools, technologies, and frameworks related to AI and ML.
• Develop machine learning models using libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Implement supervised, unsupervised, and reinforcement learning algorithms.
• Work on natural language processing (NLP), computer vision, or other domain-specific AI tasks

• Work on data extraction, cleaning, and preprocessing with Python and SQL
• Develop tools in Python to analyze datasets for insights.
• Prepare visualizations and dashboards using tools like Excel, and Power BI.

• Assist in designing, developing, and maintaining both frontend and backend components of web applications using frameworks like React, Angular, Node.js, or Django, Java Spring Microservices.
• Collaborate with designers to create responsive, user-friendly interfaces while ensuring compatibility across browsers and devices.
• Develop and manage server-side logic, APIs, and databases, utilizing technologies like MongoDB, or MySQ, Node, Java or Python
• Debug and troubleshoot issues across the full stack, ensuring the application is optimized for performance and scalability.
• Implement version control and collaborate with team members through tools like Git and GitHub for seamless development workflows.
• Stay updated on industry trends and participate in team meetings to share insights and contribute to project improvement.

• Create wireframes, prototypes, and user interfaces for web/mobile apps.
• Collaborate with developers to implement designs.
• Learn to use Figma, AdodeXD, Photoshop, Web UI Development

• Assist in designing, developing, and maintaining mobile applications for Android and iOS platforms using programming languages like Java, Kotlin, Swift, or Flutter.
• Collaborate with designers to implement user-friendly interfaces and ensure adherence to platform-specific design guidelines.
• Debug and test applications to identify and resolve performance issues, bugs, and crashes.
• Integrate RESTful APIs and backend services while managing local data storage and synchronization.
• Optimize app performance, scalability, and compatibility across devices and screen sizes.
• Participate in team discussions, follow coding best practices, and document project progress and findings.

• Design and execute test cases for software applications.
• Identify, document, and report bugs or issues.
• Work closely with developers to resolve software defects.
• Perform manual and automated testing using tools like Selenium, JMeter, Postman, Cucumber.
• Ensure software meets functional, performance, and security requirements.
• Contribute to the development of testing strategies and test plans.
• Explore modern software development practices like Agile,GitHub, Jira

• Training sessions on opted internship technology and tools
• Guest lectures from industry experts.
• Project based learning.

• Focused mentorship to develop hard and soft skills.
• Access to company’s learning resources (online/offline courses, libraries).

• Weekly feedback from mentors and supervisors.
• Final project submission and evaluation.
• Certificate of completion and recommendation letter from associated IT companies like inwizio.com, annovasolutions.com

• Month 1 - 2: Orientation, training, assessments.
• Month 3: Advance Skill Training, Mentor Assignment and Project Guidance.
• Month 4 - 6: Project Task and Reporting, presentations, and feedback sessions.

+91 88230 75444, +91 99939 28766 or email to us contact@codebetter.in