Brand New Project ideas for SJSU CMPE Class

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 for last few years, get the most  important world event for that day and find if there is any correlation between them. This needs your creativity and thinking. Explore Oxford API: 

https://developer.oxforddictionaries.com/  

Idea#3: ThePathFinder - Cognitive job search and skills development app job seekers

A ML powered job search engine which uses cognitive API to find right candidate and then train   they love the most. 

them with skills gap in the areas that they need help. Employer finds true candidate for the job, candidates got to do what

Employer portal: employer posts not just job but some of the  data about company and its  culture which helps Watson AI generate a cultural profile of a company.

Jobseeker portal: job seeker is asked some questions that Watson uses to create a personality profile. It  also takes experience and expertise and find the gaps and identifies them for the candidates. 

Most job  sites tries to match as it  is. But Path Finder finds the suitability  and fills  the gap by recommending candidates either on-line courses or a classroom course. The  portal has a special section for housewives / women who are either first time job seekers or getting into workforce after a break. 

Skills : IBM Watson cognitive services API, Node.JS, Java  script, Cloudant

Idea#4: HomeSpeak: Let your Home tell you what it needs

This is an IOT analytics project  for home automation and avoiding expensive repair costs. Think of this app gathering data from your:

a) water pressure monitor

b) energy usage monitor

c) camera detecting anomaly and image analysis finding problems

and applying ML and statistical analysis to predict problems and ask for help

Skills: Node Red, IOT device programming, Python/Node, Javascript visualization

Idea#5:  Lucy helps keep our seniors happy and  engaged

#1 problems our seniors (over 80) face today is loneliness and isolation. According to the U.S. Census Bureau 11 million, or 28% of people aged 65 and older, lived alone at the time of the census. As people get older, their likelihood of living alone only increases. Additionally, more and more older adults do not have children, reports the AARP, and that means fewer family members to provide company and care as those adults become seniors.
1. Senior isolation increases the risk of mortality.
2. Feelings of loneliness can negatively affect both physical and mental health.
3. Perceived loneliness contributes to cognitive decline and risk of dementia.
4. Social isolation makes seniors more vulnerable to elder abuse.
5. Loneliness in seniors is a major risk factor for depression.

Lucy is an effort to use technology and a  group of student volunteers to solve the problem  of social isolation of seniors. Lucy is a skill developed for Amazon Alexa device echo dot which sits in senior’s room. A group of student volunteers write personal emails to our seniors . Lucy reads those emails from a server to seniors as they come or at certain time. If seniors can share stories and Lucy collects them that would be great

Idea#6: dishClose - Predict ingredients that went into a dish and prepare recipe by just analyzing the picture of a dish

Using Image analysis, system finds the keywords associated with the dish and then uses ML to figure out what ingredients might be used. Then suggest new recipes based on the ingredients.