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https://github.com/jabhij/chicagohood_ml

Helping upcoming student in selecting the best Neighborhood to live near to their schools based on AI-driven tags.
https://github.com/jabhij/chicagohood_ml

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Helping upcoming student in selecting the best Neighborhood to live near to their schools based on AI-driven tags.

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README

        

# HoodZ
(One-stop solution for upcoming students)

### Problem Statement
- Help upcoming students in Chicago in finding the best places/neighborhoods to live based on several AI and data-driven tags.
- Employ a data-driven multiple-tags based recommendation system (RecSys), where tags are context-aware.

### Solution
- Using an AI-based model at the core to handle the data and make predictions and then there is a map where we can portray those insights and based on the preference a student can select which neighborhood he/she prefers.

#### Step 1 - Select a School

![DemoImage](https://github.com/jabhij/chicagohood_ml/assets/7325312/eaa3beb8-4764-4db1-b6b8-bb7001de1e9e)

#### Step 2 - Tag the Hood
![WhatsApp Image 2024-04-07 at 10 26 13](https://github.com/jabhij/chicagohood_ml/assets/7325312/4e1d0907-88aa-476b-8270-c457ce70663e)

Screen Recording: https://drive.google.com/file/d/1Uz6mS6em7Eh2p0aGB43obt34L1ySeSZF/view?usp=sharing

### Tech Stack
- Approaches
- Natural Language Processing
- TGCN
- Folksonomy
- TRAL
- Libraries
- NetworkX
- BertTopic Transformer Model
- NLTK
- SpellChecker
- Pandas
- Front & Back-end
- Python
- HTML, CSS
- JS, JQuery

### Applications | MultipleTags-based Recommendation System
- Healthcare
- Finance
- Education
- Fire-forest Management
etc.

### Need more Information or have Suggestions?
Reach out to us-
- [Vaishnavi Shankar Devadig](https://www.linkedin.com/in/vaishnavi-shankar-devadig/)
- [Bandhavi Parvathaneni](https://www.linkedin.com/in/bandhavip/)
- [Abhishek Jaiswal](https://www.linkedin.com/in/jabhij/)