Home » AskDushyant Video Listing » From India Gate to Ramlila Maidan: Peaceful Support of Janlokpal Bill and Anna Andolan #askdushyant
From India Gate to Ramlila Maidan: Peaceful Support of Janlokpal Bill and Anna Andolan #askdushyant
Description:
As witnesses and participants in the historic movement advocating for the Janlokpal Bill and supporting Anna Hazare's hunger strike, we vividly recall the monumental march from India Gate to Ramlila Maidan on August 21st, 2011. On that fateful day, thousands of citizens from all walks of life united in a peaceful demonstration, marching shoulder to shoulder to demand accountability and transparency in governance. With banners held high and chants reverberating through the streets, we voiced our unwavering support for the anti-corruption crusade led by Anna Hazare. The atmosphere was charged with determination and hope, as ordinary individuals became agents of change, rallying against systemic corruption and injustice. As we reached Ramlila Maidan, the epicenter of the movement, our resolve only strengthened, fueled by the collective spirit of solidarity and resilience. This firsthand account stands as a testament to the power of grassroots activism and the enduring quest for a more just and equitable society.#AskDushyant #NextStruggle Explore my thoughtful experience blog : https://www.nextstruggle.com#IndiaGate #RamlilaMaidan #JanlokpalBill #AnnaHazare #AntiCorruption #PeacefulMarch #GrassrootsActivism #SocialJustice
Published At:
August 24, 2011, 12:14 am
Tags:
India, Gate, to, Ramlila, Maidan, peaceful, March, support, Janlokpal, bil, Hazare, Anna, Ansan, 21, th, August, 2011, protest, vineet, arora, hira, lal, singh, dushyant, gadewal, Indians, common, AskDushyant, NextStruggle, www.nextstruggle.com, Dushyant Gadewal, Memoir
Related Must Read:
- Big Data Machine Learning Workflow: Using Hive for Data Preparation with Mahout and Spark
- Schema-on-read vs. Schema-on-write: Understanding Key Paradigms in Data Processing
- Understanding Data Lakes and Data Warehouses: Key Differences and Use Cases
- From Data Lakes to Data Warehouses: Using Hadoop and NoSQL for Data Storage
- Handling Real-Time Data Stream Processing with Kafka, Hadoop, and NoSQL
