This is a submission for Weekend Challenge: Passion Edition
What I Built
VICHAAR is a specialized digital platform designed to foster genuine, structured national socio-economic and political discourse within India. Built with a vision of "giving a new platform to the voice of the day-to-day people," it acts as an AI-moderated public square.
The goal was to move away from the chaotic noise of mainstream social media and build a space where critical Indian topics—ranging from localized civic issues to national policy changes—can be discussed thoughtfully, constructively, and transparently.
Code
https://github.com/Abhishek04-2006/vichaar
How I Built It
I built VICHAAR using the MERN stack (MongoDB, Express.js, React, Node.js) to ensure high scalability and a smooth, dynamic user experience.
Technical Milestones & Architecture:
- The Core Platform: Currently at a solid 80% development milestone, featuring real-time user feeds, structured debate/discussion threads, and secure authentication.
- ***AI-Assisted Moderation:* To keep public discourse healthy and free from toxic spam or extreme bias, I integrated an intelligent moderation layer that scans incoming content for constructive engagement guidelines without silencing genuine public concern.
- Database Strategy: Utilized MongoDB to design flexible, highly relational-style schemas for handling threaded replies, upvotes, and diverse categorical topics efficiently.
One of the most interesting challenges was fine-tuning the balance between free speech and structural moderation, ensuring that the platform remains true to its core identity: an authentic reflection of the Indian public's voice.
Prize Categories
Best Use of Google AI
I am submitting VICHAAR to this category for its utilization of smart AI text analysis to help filter noise, categorize complex local and national socio-economic topics automatically, and support safe, human-centric content moderation workflows.
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