You will get Personalised Food Recommendation For Multi Cuisine Restaurants
Project details
The project focuses on building a food recommendation engine by utilizing a public survey dataset. It recommends dishes based on cuisine preferences and leverages collaborative filtering techniques to suggest personalized options tailored to the user’s prior choices. This engine enhances the user experience by offering intelligent and customized food suggestions.
Machine Learning Tools
Apache Spark, GitHub Copilot, Google Sheets, Microsoft Power BI, NLTK, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, SciPy, TextBlobWhat's included $10
These options are included with the project scope.
$10
- Delivery Time 7 days
- Number of Revisions 1
- Number of Model Variations 2
About Gaurav
Senior Data Analyst | Power BI | SQL | Python | BI Dashboards
Hyderabad, India - 2:37 am local time
I specialize in building automated dashboards, KPI frameworks, and analytics pipelines that support data-driven decision-making. I have worked on end-to-end analytics projects involving data extraction, transformation, modeling, and visualization for leadership and stakeholders.
One of my key projects is Patrakaar.ai, an AI-powered media intelligence platform where I designed SQL-based data models, Python ETL and NLP pipelines, and interactive Power BI dashboards for sentiment analysis, trend tracking, and reporting automation.
I am comfortable working with international clients, handling ad-hoc analysis, and delivering clean, scalable, and business-friendly analytics solutions.
Steps for completing your project
After purchasing the project, send requirements so Gaurav can start the project.
Delivery time starts when Gaurav receives requirements from you.
Gaurav works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection