Designed and implemented a sophisticated React-based dynamic form to efficiently gather comprehensive infrastructure requirements from users. The form features intuitive questions tailored to determine the optimal technologies for building and deploying applications, enhancing user experience and accuracy in capturing project needs.
Integrated a robust backend API using Python and Django for seamless form submission and real-time updates. Leveraged Google Gemini LLM with advanced prompt engineering to deliver actionable content, improving the precision of infrastructure recommendations.
Enabled interactive modifications to the generated infrastructure design through a chat interface. Users can easily adjust the content without repetitive information entry, leading to a 40% reduction in manual input and increasing user satisfaction by 30%.
Implemented real-time context saving to ensure smooth transitions and modifications without losing previous inputs, thus enhancing the application's responsiveness and user engagement.
Introduced High-Level Design (HLD) generation feature, providing users with a visual overview of their service architecture. This feature has resulted in a 25% improvement in project planning accuracy and has been well-received for its clarity in presenting infrastructure layouts.

The Automated Waste Segregation System is a machine learning-based solution that uses Convolutional Neural Networks (CNN) to classify waste into two categories: Organic and Recyclable. The system automates the waste sorting process, enhancing recycling efficiency and promoting proper disposal practices. It features a simple web interface where users can upload images of waste items, which are then classified in real-time by the backend powered by Flask. The system provides instant classification results along with recycling recommendations, helping reduce contamination in recycling streams and encouraging environmentally-friendly practices. This system is efficient, scalable, and user-friendly, making it an effective tool for improving waste management at various scales.