Home Dr. Challa Narasimham — Author Profile
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Dr. Challa Narasimham

Professor

Andhra University College Of Engineering  · India

3

Papers

Published Papers

AI BASED INTUITIVE INTERFACE FOR CLASSIFICATION OF STARTUP'S
International Journal of Technology & Emerging Research Vol.?, No. Jul 2025 pp. 99–105

https://doi.org/10.64823/ijter.2503012

The Startup Funding App is a cross-platform mobile application developed using Flutter, aimed at bridging the gap between startups and investors. It uses machine learning algorithms to analyse startup data—such as industry type, location, funding history, and team size—to predict success probability and provide personalised recommendations to investors. The app features a user-friendly interface, secure authentication through Firebase, and real-time dashboards for tracking activity and engagement. By combining intelligent matchmaking with accessibility and automation, the app offers a more efficient, transparent, and data-driven approach to startup funding

PDF 699 views
Performance Improvement in Digital Marketing Using Augmented Reality
International Journal of Technology & Emerging Research Vol.?, No. Jul 2025 pp. 76–86

https://doi.org/10.64823/ijter.2503010

This project focuses on improving the digital shopping experience for footwear through an interactive virtual try-on system. Many users struggle to find the perfect shoe size or fit when shopping online, which often leads to returns, dissatisfaction, or hesitation in purchasing.To solve this, we developed a web-based platform that helps users see how a shoe would look on their foot before buying it. The user can scan their foot and then choose from a variety of shoe models displayed in the catalog. Once selected, the shoe is overlaid onto the scanned foot image, giving a real-time try-on effect.The idea behind this project is to make online shoe shopping easier, more reliable, and user-friendly. It aims to build trust between brands and customers by showing how a product might actually look when worn. This helps users make more confident purchase decisions.Our system also includes links to real websites where the shoes are sold, so users can directly buy the products after trying them virtually. In addition, details such as price, fit type, and foot compatibility are clearly shown to guide buyers.This method saves time, reduces return rates, and provides a unique shopping experience. We believe such digital tools can shape the future of online shopping, especially in the fashion and retail industry.

PDF 748 views
AI BASED INTERFACE FOR CLASSIFICATION OF STARTUPS
International Journal of Technology & Emerging Research Vol.?, No.

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