This project aims to showcase visualizations of stakeholder data for Aahaar, a web portal that serves as a platform for connecting surplus food nodes, such as banquet halls and caterers, with people in need through NGOs, orphanages, and old age homes. The primary objective of this portal is to facilitate the donation of surplus food generated from social events. Aahaar recognizes that after social gatherings, significant amounts of food often go to waste. Simultaneously, there are numerous individuals and organizations in the community who struggle with food insecurity and could benefit greatly from access to nutritious meals. Therefore, Aahaar acts as a bridge between surplus food sources and those in need, enabling the effective redistribution of excess food resources.
- altair==4.2.0
- pandas==1.2.3
- streamlit==1.12.2
- streamlit-aggrid==0.2.3.post2
- streamlit-lottie==0.0.3
- requests==2.28.1
- jsonschema==4.17.3
- openpyxl==3.0.10
In your command prompt run the following commands in order to run the code on your machine -
- cd .../file
- pip install streamlit
- python -m streamlit run file.py
In the project, I played a pivotal role as a data analyst, responsible for various tasks involving data collection, web scraping, data research, and data analysis. My contributions were instrumental in providing valuable insights and facilitating data-driven decision-making. Here is a detailed overview of my key responsibilities and achievements throughout the project.
- Data Collection: Worked in Identifing and defining the data requirements based on project objectives and stakeholder needs for donors and receivers. I also Conducted extensive research to identify potential data sources, both internal and external. Additionally I also Collaborated with the team to establish data collection methods, ensuring accuracy, reliability, and relevance. Finally I also Developed data collection protocols and implemented efficient data gathering processes.
- Data Research: I Conducted in-depth data research to gather relevant information and insights from various sources and leveraged online databases, research papers, industry reports, and other reputable sources for comprehensive data analysis. I also worked on Evaluating the credibility and reliability of data sources to ensure accurate and trustworthy findings.
- Data Analysis: Utilised statistical analysis techniques and tools to explore and analyse collected data and Collaborated with the team to interpret analysis results and provide actionable recommendations.