Projects
These projects reflect my ability to apply theoretical knowledge to real-world problems, work collaboratively in teams, and deliver impactful solutions. They have helped me develop technical expertise, critical thinking, and a passion for innovation. Each project has been a stepping stone in my journey to becoming a skilled and versatile professional.


Smart Agriculture System (2018)
Key Features:
Automated motor control for efficient irrigation, reducing water waste.
Real-time monitoring of soil moisture levels via IoT sensors.
Remote access to irrigation controls, allowing farmers to manage the system from anywhere.
Integration with drip irrigation for enhanced water conservation.
Implementation:
Successfully deployed the system on my father’s agricultural field, where he provided invaluable insights as an experienced farmer.
Collaborated closely with my father to test and refine the system, ensuring it met the practical needs of farming.
Combined IoT technology with traditional farming practices to create a sustainable and efficient irrigation solution.
Outcome:
Reduced water wastage by 90%.
Improved crop health and yield by ensuring optimal soil moisture levels.
Empowered farmers with real-time data to make informed irrigation decisions.
Role:
Conceptualized and designed the IoT-based irrigation system.
Developed the automation and monitoring features using Arduino, ESP8266 NodeMCU, and Python.
Worked closely with my father, whose hands-on farming expertise and feedback were critical to the system’s success.
Tools and Technologies:
Arduino (for motor control and sensor integration)
ESP8266 NodeMCU (for IoT connectivity and sensor integration)
Raspberry Pi (for data processing and real-time monitoring)
IoT sensors (soil moisture sensors, temperature sensors, etc.)
Python (for backend development and data analysis)
Drip irrigation system (for efficient water delivery)
Learnings:
Gained hands-on experience in IoT, sensor integration, cloud integration, and automation.
Learned the importance of combining technology with traditional farming practices from my father’s experience.
Improved problem-solving, collaboration, and project management skills.
Designed and implemented a Smart Agriculture System to address water scarcity in farming areas. The system uses Python and Arduino to monitor water levels and control motor operations remotely, enabling farmers to turn the motor on/off from their homes. This project aims to minimize water wastage and promote sustainable farming practices.
Water scarcity and inefficient irrigation practices are major challenges in agriculture. This project demonstrates my ability to leverage IoT technology to create practical, sustainable solutions for real-world problems. By automating irrigation and providing real-time monitoring, this system not only conserves water but also enhances crop productivity.
This project holds a special significance for me as it was a collaborative effort with my father, whose decades of farming experience and dedication were instrumental in its success. His practical insights and hard work helped shape the system into a solution that truly meets the needs of farmers. Together, we combined technology and tradition to create a system that has the potential to benefit farmers in water-depleting areas.












These images and visuals provide a comprehensive overview of the project’s development, implementation, and impact. They highlight the technical aspects of the system, its real-world application, and the collaborative effort behind its success. By combining IoT technology with traditional farming practices, this project demonstrates how innovation can address critical challenges like water scarcity in agriculture.




This photo captures the real-world implementation of the project on my father’s farm. The system was tested and refined in collaboration with my father, whose farming expertise was invaluable in ensuring the solution met practical needs.
This photo showcases a newspaper article from the District Edition that highlighted my father’s innovative approach to water conservation in agriculture. The article praised his use of mulching sheets and drip irrigation to significantly reduce water wastage and improve farming efficiency.
Inspired by my father’s pioneering work, I developed the IoT-Based Smart Irrigation System to further enhance water conservation in agriculture. While my father’s use of mulching sheets and drip irrigation laid the foundation for sustainable farming, my project introduced IoT technology to automate and optimize the irrigation process. Together, our efforts represent a powerful combination of traditional wisdom and modern innovation
This is the final yield of the crop after the implementation with high yield using less water and monitoring the moisture by using charts and taking care of the crop from home. #Save Water Save Planet
Data Visualization


This study explores how the pandemic affected transportation safety worldwide by comparing accident rates before and during COVID-19. Using real-world data, it examines links between changes in road and air travel accidents and pandemic-related factors like lockdown rules, infection rates, and daily case numbers. Interactive charts and maps let users explore accident patterns—such as types of crashes, locations with the most casualties, and shifts in air travel risks—during different phases of the pandemic. By studying how restrictions like stay-at-home orders influenced accident trends, the project offers practical insights for improving safety policies. It combines accident records, COVID-19 statistics, and community data (like income levels or population density) to create easy-to-understand visuals using tools like Tableau. Timelines show how accident numbers rose or fell during pandemic waves, while search features allow users to dig deeper into specific regions or time periods. Designed for policymakers and safety advocates, the project turns raw data into clear stories, showing how the pandemic reshaped travel risks and what steps could prevent future crises. Visit the site to explore how COVID-19 changed transportation safety and how smarter planning can save lives.
Speech Recognition System (2020)
Language barriers can hinder communication and accessibility in our increasingly globalized world. This project demonstrates my ability to leverage AI and NLP to create practical solutions that bridge these gaps. By enabling accurate speech-to-text conversion and multilingual translation, this system has the potential to enhance communication in diverse fields, including education, healthcare, and business.
Developed a machine learning-based solution to convert speech into text and translate it into multiple languages, including Spanish and German. This system enables seamless multilingual communication by integrating Natural Language Processing (NLP) techniques for accurate speech recognition and translation
Key Features:
Speech-to-Text Conversion: Accurately transcribes spoken language into written text using advanced NLP models.
Multilingual Translation: Translates the transcribed text into multiple languages, breaking down language barriers.
User-Friendly Interface: Designed to be intuitive and accessible for diverse audiences.
Scalable Architecture: Built to handle real-time speech processing and translation.
Implementation:
Trained machine learning models using TensorFlow and NLP libraries to achieve high accuracy in speech recognition and translation.
Tested the system with diverse datasets to ensure robustness across different languages and accents.
Integrated the solution into a user-friendly interface for easy adoption.
Outcome:
Achieved 90% accuracy in speech-to-text conversion.
Enabled seamless communication across languages, enhancing accessibility for global users.
Demonstrated the potential of AI and NLP in bridging language barriers.
Role:
Conceptualized and designed the machine learning pipeline for speech recognition and translation.
Developed and trained models using Python, TensorFlow, and NLP libraries.
Integrated the system into a user-friendly application for real-world use.
Tools and Technologies:
Python (for development and scripting)
TensorFlow (for building and training machine learning models)
NLP libraries (for speech recognition and translation)
Frontend tools (for user interface)
Learnings:
Gained hands-on experience in Natural Language Processing (NLP) and machine learning.
Learned how to preprocess and work with audio and text data for AI models.
Improved skills in model optimization, deployment, and user interface design.
I’m always open to new opportunities, collaborations, or just a friendly conversation. If you’d like to discuss a project, share ideas, or connect professionally, feel free to reach out.
Contact Information: +19405956268
Email: siripurapuchandana2000@gmail.com
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