Daksh Mayank Desai

Passionate and driven freshman with a strong enthusiasm for computer science and coding. Proficient in Python for data analysis and GUI development, complemented by a foundational understanding of programming concepts. Eager to dive deeper into artificial intelligence and machine learning, particularly in neural networks, supported by a solid mathematical background.

Aspiring entrepreneur with a vision to launch a startup that aims to revolutionize delivery systems through innovative drone technology. Committed to exploring the intersection of technology and entrepreneurship, and excited to collaborate on projects that push the boundaries of what’s possible in the tech industry. Dedicated to continuous learning and growth in the rapidly evolving fields of AI and computer vision.

1) EDA(Exploratory Data Analysis) : Conducted a comprehensive exploratory data analysis of the Air Quality Index (AQI) across major Indian cities using Python. The project involved visualizing pollution trends, highlighting significant events such as the COVID-19 pandemic and Diwali celebrations. Developed graphs to analyze concentrations of pollutants like PM2.5 and PM10, and predicted air quality scenarios based on historical data. Proposed data-driven mitigation strategies to inform policy recommendations and community awareness. This project enhanced my skills in data analysis, critical thinking, and Python programming, while deepening my understanding of air quality challenges.

2)ARDUINO BASED WEATHER STATION: Developed an Arduino-based weather station using Arduino UNO, showcasing real-time humidity and temperature readings. Leveraging my electronics knowledge, I designed the circuit and integrated sensors to accurately capture environmental data. The project involved programming in the Arduino IDE to display live readings, enhancing my skills in both hardware and software development. This hands-on experience deepened my understanding of electronics and embedded systems, as well as my ability to create functional, real-world applications.

3)LINE FOLLOWER ROBOT:  Developed a line follower robot using Arduino and infrared sensors to autonomously navigate along a predefined path. Integrated sensors to detect the line for precise movement and tracking.