Geolocational Clustering for Student Housing
₹400-750 INR / jam
I need a project that facilitates students in selecting ideal housing areas based on proximity to various essential facilities like gyms, restaurants, cafes, bus stands, and airports.
Key Project Aspects:
- Utilizing public databases to gather data on nearby facilities.
- The clustering algorithm should focus on the following types of facilities: gyms, restaurants, cafes, bus stands, and airports.
- GPS will be the primary geolocation technology used for this project.
Ideal Skills:
- Expertise in geolocational data analysis and clustering algorithms.
- Proficiency in utilizing public databases for data extraction.
- Experience with GPS technology and geolocation software.
- Ability to create a user-friendly interface for students to interact with the data.
I'm looking for a freelancer with a strong background in data analysis, specifically in geolocational clustering, to help students find suitable housing areas.
ID Proyek: #38712408
Tentang proyek
6 freelancer rata-rata menawar ₹526/jam untuk pekerjaan ini
✅ "You Want Housing Near Essential Amenities?? Let’s Pinpoint the Best Locations with Data-Powered Insights!" ✅ Hello! I'm excited to bring this project idea to life by leveraging geolocation and clustering algorithms Lebih banyak
Hello I have several years of experience with Python programming Since there is short project description, could you share more details about your project? Thanks.
Being well-versed in Python and its various library environments, I am capable of delivering an efficient and intelligent geolocational clustering solution for your student housing project. I am adept at traversing pub Lebih banyak
⭐ Hi, My availability is immediate. I read your project post on Geolocational Clustering for Student Housing. We are experienced full-stack Python developers with skill sets in - Python, Django, Flask, FastAPI, Jupyte Lebih banyak
I’m excited about the opportunity to assist with your student housing project. As a recent graduate with a strong background in data analysis and clustering algorithms, I can help create a tool that identifies ideal ho Lebih banyak
