Agentic AI - Hands On Practices Agentic AI Hands-on practice for developing end to end AI agent, and understanding the internals. ☞ Github ☞ Learn More Python Hands On Practices Python Hands-on practice for developing end to end application, and understanding the language concepts. ☞ Github ☞ Learn More Gen AI Hands On Practices Google Colab Hands-on practice for developing Gen AI applications, and understanding the concepts. ☞ Github ☞ Learn More

AI can generate code in seconds. As a result, the role of developers is rapidly shifting—from writing code to reviewing, guiding, and constraining AI-generated outputs to ensure they truly fit the need. However, effective code review is not easy. The expertise required to review AI-generated code cannot exist without first writing code yourself. First-hand experience—debugging, structuring, breaking, and fixing systems—is what builds the intuition needed to evaluate correctness, performance, and maintainability.

Insects are the most diverse species of animals found on earth. While every species is required to maintain the balance of nature, excessive accumulation of any one type can have devastating effects on humans and environment. Insect management relies on the early detection and accuracy of insect population monitoring techniquessensors-12-15801. Integrated data gathering about insect population together with the ecological factors like temperature, humidity, light etc., makes it possible to execute appropriate pest control at the right time in the right place.