Skip to content

A-ES/hacktofuture4-I08

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 

Repository files navigation

BlueBerry

Welcome to your official HackToFuture 4 repository.

This repository template will be used for development, tracking progress, and final submission of your project. Ensure that all work is committed here within the allowed hackathon duration.


Instructions for the teams:

  • Fork the Repository and name the forked repo in this convention: hacktofuture4-team_id (for eg: hacktofuture4-A01)

Rules

  • Work must be done ONLY in the forked repository
  • Only Four Contributors are allowed.
  • After 36 hours, Please make PR to the Main Repository. A Form will be sent to fill the required information.
  • Do not copy code from other teams
  • All commits must be from individual GitHub accounts
  • Please provide meaningful commits for tracking.
  • Do not share your repository with other teams
  • Final submission must be pushed before the deadline
  • Any violation may lead to disqualification

The Final README Template

Problem Statement / Idea

  • What is the problem?
    Millions of small businesses (restaurants, salons, local shops) either have no online presence or a weak one. Their Google listings are incomplete, they lack websites, and they are often invisible to potential customers searching online.

  • Why is it important?
    In today’s digital-first world, poor online presence directly translates to lost revenue. Small business owners typically lack the time, technical knowledge, or resources to build and maintain a strong digital footprint.

  • Who are the target users?

    • Local small business owners (restaurants, salons, gyms, repair shops)
    • Businesses with weak or no online presence
    • Non-technical owners who want simple, managed digital solutions

Proposed Solution

  • What are you building?
    Vector++ is an automated platform that identifies businesses with poor online presence, generates ready-to-use websites for them, and continuously improves those websites based on customer feedback.

  • How does it solve the problem?

    • Discovers businesses lacking digital presence using data sources like Google Maps
    • Automatically generates a complete website preview using templates and AI-generated content
    • Allows instant demonstration of value before any sales interaction
    • Continuously monitors customer feedback (reviews, interactions) and improves the website automatically
  • What makes your solution unique?

    • Pre-built website previews before pitching (value-first approach)
    • Fully automated feedback-to-improvement loop
    • Subscription-based continuous optimization instead of one-time delivery
    • Combines scraping, AI generation, and autonomous updates into one system

Features

  • Automated business discovery and opportunity scoring
  • Instant website generation using AI and pre-built templates
  • Multi-solution improvement engine for continuous optimization
  • Customer feedback ingestion and clustering
  • Automatic website updates based on real user feedback
  • CRM system for managing outreach and conversions

Tech Stack

  • Frontend: React.js, Tailwind CSS
  • Backend: Python (FastAPI) / Node.js
  • Database: Supabase (PostgreSQL)

APIs / Services

  • Google Maps data sources
  • LLM APIs (OpenAI / Anthropic / Ollama)
  • Hosting platforms (Vercel / Netlify)

Tools / Libraries

  • sentence-transformers (for embeddings)
  • DBSCAN (for clustering feedback)
  • Playwright (for scraping)
  • Docker (for sandbox/testing)

Project Setup Instructions

# Clone the repository
git clone <repo-link>

# Navigate into the project
cd vector-plus-plus

# Install dependencies (backend)
pip install -r requirements.txt

# Install dependencies (frontend)
cd frontend
npm install

# Run backend server
cd ..
uvicorn main:app --reload

# Run frontend
cd frontend
npm run dev
...

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages

  • Python 48.4%
  • JavaScript 27.9%
  • HTML 22.9%
  • Other 0.8%