Hairify

one solution for all your hair problems

Deploy Link : Hairify

Youtube Link : Hairify Youtube Explanation

Devfolio Link : Hairify Hackathon Project Link

Hairify is an innovative AI-powered chat assistant dedicated to guiding individuals in improving their hair health. The Hairify website boasts a user-friendly UI tailored to help users find solutions for their hair health concerns.

Features

AI chat assistant to give solutions to your hair problems
analyze the picture of your scalp condition and detect hairfall stage
give you suggestion to tackle your hair loss buy suggesting medication

Tech

System Design

Hairify application runs on 2 server

Frontend
Backend

Tech stack

Frontend
- Next JS
- Tailwind
Backend
- Django
- Gemini (Gen AI)
- SSE
- Langchain
Tools
- Vercel
- Render
- Postgress
- Cloudinary
- Langchain

Website Flow

At first we head to landing page. (https://hairify-ai.vercel.app/)
Then we go to login -> signup. We create a new accout. After that, we login with it. (https://hairify-ai.vercel.app/login) (https://hairify-ai.vercel.app/signup)
After, we can chat with AI for hair and scalp related issues. (https://hairify-ai.vercel.app/chat)
Also, from landing page we can go to Image Report generation. We need to upload the image of our scalp/hairline. It will generate a report. (https://hairify-ai.vercel.app/report)
In Dashboard, we can see previous report histories that we have generated before. (https://hairify-ai.vercel.app/dashboard)

How to setup the project locally

Frontend

- Open Terminal
- Naviagate to your directory and navigate to the frontend folder
- Install Node if not present in your machine
- Do `npm install`
- Rename .env.sample to .env
- Do `npm run dev` to start the project

Backend

- Create a Cloudinary Account and get the creditnals
- Host Postgres locally or on Cloud, you can also use a docker Image
- Create a Gemini Account and get the API Key
- Install Python and Pip if not present
- Do `pip install virtualenv`
- Navigate to backend folder
- Setup virtualenv in your backend folder by typing `virtualenv env` in your terminal
- Activate Virtualenv by doing `.\env\Scripts\activate` (for windows) or `source env/bin/activate` (for linux)
- Do `pip install -r requirements.txt`
- Create a .env file and add all the variables of .env.sample file with relevant keys
- Do `cd hairify` in backend
- Finally do `python manage.py runserver ` to start the server