Hamna Arif@hamnarif140

AskAway: An AI-Powered Survey Application for Intelligent Data Collection and Analysis Introduction: AskAway is an innovative AI-powered survey application that transforms the way surveys are designed, distributed, and analyzed. Aimed at various sectors like healthcare, finance, education, and business, AskAway not only simplifies survey creation but also generates valuable insights from the collected data. With AskAway, businesses can make informed, data-driven decisions, helping them improve customer satisfaction, operational efficiency, and overall performance. Core Features of AskAway: 1. AI-Powered Survey Creation At the heart of AskAway lies its AI capabilities, which fundamentally change how surveys are created. Instead of relying on generic, manually curated questions, AskAway uses AI algorithms to suggest relevant questions based on the purpose of the survey Adaptive Questioning: AskAway goes beyond static survey templates. It employs dynamic question generation, where the AI tailors subsequent questions based on previous answers. This creates a more personalized experience for respondents, leading to better engagement. 2. Customizable Templates for Various Sectors AskAway understands that one size does not fit all. Different industries require different types of surveys, and AskAway delivers pre-built templates designed for various sectors, including healthcare, finance, education, business, and more. For example: Healthcare: Templates designed to measure patient satisfaction, clinical outcomes, and staff performance. Finance: Templates for gauging client preferences, assessing market trends, and investment strategies. Business: Templates for customer feedback, product satisfaction, and employee engagement surveys. These templates can be customized to fit specific needs, allowing users to add or remove questions, change the layout, and incorporate branding elements like logos, color schemes, and typography.

I am building Investory with a vision to create a one stop platform for young generation to manage their Financial assets and how well they can plan their pocket money. The students on basis of their financial status can plan that how they can use their money effectively and how they should invest their money. In Long run i will try to make it somewaht intermediate between a stock market application but again laying more emphasis on investment part. In Investory we have used Llama models for developing two features . One using llama-3.2-11b-vision-preview model for classifying image and other using llama3.2:1b model for generating rag model for chatting with Financial Document. These two features are simple preview of the application i am building . Will try to enhance it more in new feature.