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Due to the severe climate changes occurring in the India, an IOT solution for weather forecast (especially for the farms in India) was thought in order to prevent any further failure in crop production due to climate change problems. The following research paper will be discussing the chosen solution. In this project we will be building an Internet of Things (IoT) Weather Station using Hortonworks Connected Data Architecture, which incorporates open source frameworks. Finally as a result we will obtain the graph between “time vs temperature”, time vs pressure”, and “time vs humidity” which helps us to predict the weather conditions like rainy, sunny, cloudy, clear, fair etc. (at the farms) that definitely helps people and farmers to increase their crops productivity using such weather information regarding weather conditions”. Keywords: Physical layer, database layer, presentation layer, HDF, HDP, NIFI, MiNiFi .

After every session student will get the assignment based on the following subjects as given below:

1. Working of Raspberry Pi and Sensor hat including some question.
2. Install of all the software with screenshot. 
3. Connection of all three layers. 
4. configuration of Nifi and Mini Nifi with CDA including python code. 
5. Results of all parameters with respect to time in form of graph.

Prerequisite you should know have like basic knowledge of Python language, docker, virtual box, zeppelin, phoenix, Raspberry pi sensor hat etc. If you don't know about it don't worry just look into all this on internet before you start this project with me.

There will be no too much workload, just attend sessions and do you home work. And make sure you should submit all the assignment on time.
1. Submission of assignment.
2. Proper presentation and project report presentation.
3. Working knowledge of project.

Learning outcomes and student Eligibility

1. Student of computer science engineering, electrical engineering, IT engineering. 2. Student of BCA (Bachelors in computer application) and MCA (masters in computer application). 3. Any other student who wish to work in IOT and agriculture etc.