The system I would like to implement at ODU's campus will be a transportation system, one not as flashy as a maglev train, and just unrealistic enough to make it interesting for anyone on or around campus. A complex weave of multiple paths and stations will be connected to seamlessly smooth "railway". This railway will be able to transport students, faculty, and employees from sun up to sun down by being completely autonomous and synchronization by linking machine learning with a GPS style railway. Machine learning will be used to best scatter the carts. The sky-carts will use student schedules, campus fiat, living accommodation, and other factors to best prepare and accommodate the students to maximize, leisure, study, and work time. A hybrid energy system of both Solar, wind, and water will sustain the cable systems. Vertical Axis Turbines stationed on each cart will simultaneously supply the cart and a battery which may be dropped off at the next station to be used by the landing station or to be used by a local renewable energy friendly vehicle. I want to create a seamless transition from parking walking outside, to walking on campus without feeling stranded, jammed up by traffic, or possibly catch up on reading while enjoying the beautiful scenery. A more personal-crowd based Gondola experience. Using machine learning to route carts to best suit your preference to get to your location, or not. Maybe just a flight around campus near the beach to listen to your new album.
Hello, dear
I read your job.
I have experienced in Machine learning and website development.
So I can do your job.
If you see my profile, you can know about my skills and my past works.
Hoping to contact with you and discuss further.
Best regards
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