Building VoterAssist: An Intent-Driven AI Election Guide
VoterAssist is a web application developed for the PromptWars Virtual Challenge 2 to simplify the electoral process through an AI-driven, gamified interface. It uses an intent-driven development approach with AI models like Gemini 3.1 Pro and Claude 3.5 Sonnet to generate code from high-level civic goals. The app features a dynamic progress tracker, document verification system, and pincode-based polling location finder to improve voter readiness and engagement.
- ▪VoterAssist is built using React, Tailwind CSS, and Framer Motion for animations and a modern user experience.
- ▪The app includes a 'Document Vault' that helps users verify which forms of ID are accepted for voting.
- ▪A pincode-based polling locator maps users to their nearest active polling station, such as Pragati Engineering College.
- ▪The developer used Google Antigravity and AI models to generate code structure and logic through intent-based prompts.
- ▪Repository size was optimized under 10MB by using SVGs, CSS gradients, and CDNs while avoiding heavy libraries.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3908576) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Sri Ram Charan Nandigam Posted on May 2 Building VoterAssist: An Intent-Driven AI Election Guide #webdev #programming #ai #promptengineering # Building VoterAssist: An Intent-Driven Election Guide for PromptWars 🗳️ Simplifying the fragmented election process through AI-driven development and interactive gamification.
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