Do What Matters

Every semester hundreds of students graduate in Computer engineering from SJSU Charles Davidson College of Engineering. Visit my Linkedin post  for this semester's 295B projects: https://www.linkedin.com/pulse/technology-showcase-day-rakesh-ranjan/ 

#1 - Why Vote? - ML powered analysis of voters and polls and their impact on citizen metrics Idea is to visualize the data about historical polls (how people vote in their democratic elections worldwide) and show correlations between the voting patterns and the important metrics such as health and sanitary conditions in that area, educational excellence in the neighborhood schools and other important  metrics such as roads and infrastructure. Goal is to make  people understand that in democratic society, people have power and rights to choose their representative who will work for the benefits of the society and when they fail to exercise that rights, they and their community suffer. Tons of opportunity to use Machine Learning to predict outcome in this project. Contact me for more detail. #2 - Sustainability App - You notice everyday in Facebook, someone posts a nice clever idea to recycle a plastic bottle or cardboard box to make something  new and usable. Why n...

Idea#1: WeServe - Connecting  pro-bono and student volunteers to the NGOs around the world.  When NGOs start a social project they usually do not have resources to apply technology platform and best practices. So they often  start with manual work and paper based system to collect  data and make decisions. They need help with things other than technology such as consulting, efficiency and applying proven techniques. This platform connects pro-bono consultants and students (high  school and college) volunteers to the NGOs.  NGO posts the project. Students and pro  bono consultants creates their profile, interests and expertise and timeline they might be available to work/help. System applies intelligent algorithm to match them.  Skills Required: Node.JS, Java Script, MySQL Idea#2: DictDay - Dictionary Word of the day analysis using ML Everyday, Dictionary.com or Mariam publishes their word of the day. Can you get the  word f...

#1 Help insurance companies identify risky and cautious drivers Develop a cloud service which could be integrated and used by Insurance companies to identify risky and cautious auto drivers. The service should have subscription based offering. The statistical and machine learning model would use driving records of various drivers (historical data) and predict a risky driving behavior Develop a dashboard for Insurance data analyst to visualize and predict. #2 A mobile dashboard (android tablet) to control all connected IoT devices in the house.   This dashboard should allow control of lights, toaster oven, music player, thermostat or anything else connected via wifi in the house) #3 U sing gps and accelerometer data from mobile phone, predict tourist’s behavior (whether tourist will see a particular exhibit or visit a particular shop) http://link.springer.com/chapter/10.1007%2F978-3-319-03973-2_9 #4 Employee demand & Churn forecasting Employers deal w...