Swachh Bharat Abhiyan (SBA) or Swachh Bharat Mission (SBM) is a nation-wide campaign in India that aims to clean up the streets, roads and infrastructure of India's cities, towns, urban and rural areas. With proliferation of Internet of Things (IoT) devices and sensor. Cisco can play a big role automating alerts and actions in buildings, campuses or cities. Student teams are expected to develop a protocol to have a communication with the IoT sensors and transfer the relevant data. Solution Expected: Build a multi-protocol application would truly help realize the vision of IoT with devices that span across use cases and cost points, and deliver meaningful impact on social initiatives such as Swachh Bharat” One such example could be the following: a smart garbage sensor connecting over a LoRa protocol to the wireless Access Point and a Docker based application executing on the Access Point sensing that the garbage can may be full and needs attention. Upon making such an inference, the application may choose to unlock a Zigbee lock attached to the door as well as turning on a Zigbee light in the location closest to the garbage bin. Such a multi-protocol application would truly help realize the vision of IoT with devices that span across use cases and cost points, and deliver meaningful impact on social initiatives such as Swachh Bharat” Tech recommendation: Cisco latest generation of Wi-Fi 6 access points - the Catalyst 9120 is truly multi-lingual with diverse radio capabilities to address the needs of a fragmented world of IoT protocols. In addition to delivering Wi-Fi, the 9120 AP also delivers Bluetooth 5.0, Zigbee, and Thread capabilities with the ability to add other radios via a USB interface. The Catalyst 9120 AP also has the unique capability of executing Docker-style containerized applications that could make use of the IoT radios and deliver use cases through a unified wireless infrastructure for customers, thereby reducing cost and complexity. Cisco would love you to think audaciously about other problem statements and use cases that can leverage such a converged wireless multi-protocol capability with containerized edge applications. Cisco look forward to seeing your creations! Applications can be prototyped using a Raspberry Pi with 2 different radios. The evaluations shall be based on the following criteria 1. Depth and research to understand how technology can be used for Swachh Bharat Abhiyan (SBA) 2. Depth of understanding of Cisco 9120 AP product capabilities & use cases. 3. Depth and understanding of technologies proposed in solution.
The Mid-day Meal Scheme is a school meal programme of the Government of India and is designed to improve the nutritional standing of school-age children nationwide. The programme supplies free lunches on working days for children in primary and upper primary classes in Government schools. Serving 120,000,000 children in over 1,265,000 schools and Education Guarantee Scheme centers, it is the largest of its kind in the world. Student teams are expected to build machine vision solution to monitor the activities under the Mid-day Meal Scheme.
As the Mid-Day Meal program runs in schools across the country, continuous auditing and monitoring of the program might be challenging.
Typical Auditing and Monitoring could involve:
Ensuring number of students that took meal is same number reported. Lunch served is same as published/reported menu. Alerting in case of discrepancy and capability to centrally see past records / proof (numbers and visual) for any school. To design modules based on the above mentioned activities, video feed shall be provided to the student teams. These feeds shall come from the Meraki security camera. Typically, these shall come from the actual / imitated site i.e. schools, food serving area etc. Student teams are expected to explore the capabilities of Meraki camera’s inbuilt Machine learning (ML) modules and develop solutions around it. E.g. counting students, object recognition etc. Meraki security camera also has an inbuilt functionality to capture snapshot photos. Teams are expected to generate their own database based on the region of interest and features they wish to extract to develop ML models. Along with the expectations of Auditing & Monitoring the student teams should also propose innovative ideas (backed with research) to extract additional information from above snapshots / photos. While architecting the entire system, teams may explore the scalability factor of the system.
The evaluations shall be based on the following criteria:
1. Depth and research to understand Mid-Day meal scheme monitoring problem.
2. Depth of understanding of Meraki camera product capabilities use cases.
3. Depth and understanding of technologies proposed in solution.
Before fully functional helicopters, in 1960's people are using helicopter turbo-propellers for vertical takeoff and landing of planes. Helicopter Turbo-props are the propellers having propulsion system mounted at tip of the blades. The major idea about this is to reduce the travel cost per passenger as turbo props are more efficient, provide high endurance than that of the normal helicopter blades and provides two times the speed to the plane. On the other hand unbearable noise is one of the issue in helicopter turbo-props. In this problem statement, students are supposed to make the working prototype of helicopter turbo-props. These propellers should be designed in such a way that, it should lift and land a foam model of an aircraft weighing 700 grams. Successful flight test of the same is mandatory for the completion of the project.
NALCO Smelter Plant has 04 Pot lines with 08 Pot Rooms and each Pot Room having 120 Pots. There are 2 Cast Houses and 1 Rolling Plant as well. Hot metal is tapped through Tapping Ladles from 960 pots and then transferred into transport ladles on the metal transporting trucks (MTT) for delivery to the desired Cast House Location as per the requisition made by the individual Cast Houses and Rolling Plant.
• Maximum 16 nos. of trucks can be deployed in the Pot Rooms.
• The liquid metal is tapped at around 960°C.
• The Cast House desired temperature range for metal casting 720°C-760°C.
• If the metal arrives at little above the casting temperature value then it is ready for casting and no fuel is required to be burnt in the metal holding casting furnaces.
A. Cast House–A (Operation) prepares Metal Planning Schedule for 04 shifts on daily basis and forwards Hard/Soft Copy to Pot Line (Operation).
B. After receipt of the metal planning schedule the Pot Line (Operation) shift-in-charge prepares tapping schedule for his shift.
C. From the tapping schedule ladle schedule is derived along with the metal dispatch against requirement by Cast House (Operation).
D. Accordingly MTT deployment by the Pot Line (Operation) transport section is arranged for each Pot Line Room Location to the respective Cast House in a Merry-go-Round fashion during the shift hours.
E. Normally Cast House-B and Rolling Plant forward their shift wise ladle requirement, in terms of no. of ladles required by them in a shift, initially to the Transport Section of Pot Line (Operation).
F. Balance left out hot metal available is dispatched to Cast House-A along with any adjustment required for handling of no. of ladles available with Pot Line (Operation) arising out of additional requirement raised or surplus metal available from Cast House-B and Rolling Plant Shops due to operational issues.
G. Shift wise hot metal reconciliation between Pot Line (Operation) and Cast House is carried out on daily basis to tally the records with the quantity of the metal dispatched and received by the Cast House during the day against the metal planning made.
The entire operation is manual as of now. There is no single window available for operation and coordination job. The transit time required between demand and supply involves various factors such as trip length, information on availability of vehicle, tracking of vehicle location. As a result, trucks may arrive later than the demanded time resulting in drop of loaded ladle metal temperature. All this leads to wastage of heat energy, longer wait time and longer metal truck haulage at times.
Moreover, Data portability, processing and reporting, all are manual. Hence a need for IOT based vehicle mounted pilot project which will save energy, time, etc. and help us greatly in avoiding chaos situations.
To devise an IOT based vehicle mounted pilot project which shall ensure real time data connectivity on:
Vehicle location tracking through LPS. (UWB / RTLS / Indoor-Locating / LPS)
Information on availability of vehicle.
Live metal temperature data from ladle.
Vehicle call request with location.
Driver acknowledgement for call request.
Vehicle identification through code broadcast.
The proposed project will enable to achieve the following:
Reduced Metal Transporting Trucks turnaround time leading to lower haulage losses.
Reduced occurrences of ladle hot metal temperature drop due to smaller and faster haulage time.
More efficient control of vehicle logistics reducing chaos due to vehicle unavailability/in traceability.
Reduction of possibility of metal outage at either of Cast Houses, Rolling Plant.
Reduction in consumption of fuel oil required for reheating of liquid metal.
Due to the pollution on the rise, food habits and hectic schedules we are getting more and more prone to health-related issues for which many a times we use antibiotics drugs. Antibiotic resistance on the rise—and predicted to kill 10 million people per year by 2050. Do think of this problem in India context, lack of knowledge, how antibiotics are prescribed, how to gather the usage of antibiotics across the country and how to mitigate the challenge. Idea would be to see what all are the most common antibiotics / salt in those drugs are being used, for what all diseases they are being prescribed for and predict what are the probable antibiotic drugs ( salts ) which would become non-effective after a certain time for curing a specific microbial infection or disease. Requirement is to build an antimicrobial stewardship platform which should be able to provide this solution.
While most of the Agritech start-ups are focused either on supply chain, focus is now expanding to farm and yield management. The area that still remains UN-explored is the “stubble left after grain segregation”. Stubble burning is an alarming issue today in North India. We need to design a solution which can streamline and automate the process of stubble collection, transportation to desired location, notifications around stubble pickup and delivery, tracking of stubble disposal in a more environment friendly way.Try solution around automated farm images, forecast the stubble production and help business to identify stubble production and purchase the same and track how stubble is being disposed off or used.
Alexa is Amazon’s cloud base voice service, that helps users interact with brands, data, and business logic through voice. Use Alexa to innovate, and build the next generation of interfaces for tourists in India. Your solution should help solve pain points of tourists coming to India like - voice forums to crowd source destination reviews, GPS based voice navigators to guide tourists at historical sites, SOS and emergency support solutions for local and international travelers, travel guides with entry prerequisites, government policies, visa needs, and recommendations on seasons to visit. The Alexa based solution should be intuitive to use also cater to the physically challenged travelers in India.
Problem Brief/Context - These days we are pretty habituated of home- delivery system through e-commerce platform, however there is a big dependency on delivery boys and vehicles for timely delivery of the items. We could potentially use Drones for last mile delivery of items. While current prevalent addressing mechanism such as lat/long and post code are good enough for humans, these won’t work for drone delivery as all houses in a multi-storey building will have same lat/long or post-code. Design a solution which can help drones to identify each address / flat as a separate unit and deliver the item accordingly.
Develop a technology-based solution for Kids, Senior citizens, especially abled individual on any one who need supervision which can alarm the concerned person in case person who need supervision is crossing a specified boundary for eg 10 meters outside a specified boundary. You should also think about more innovative ideas to see what more value you can bring to these individuals for eg : devices which can apart from keep tracking an individual can also collect heath parameters such as heart rate and alert concerned person in case of any issue. This health data can be further used for research and development of these individuals.
1. At present, Adani operates more than 45 Berths PAN India and approximately 4000 Vessels calling at our Port.
2. The vessel agents share the ETA by which Port Authorities manage the resource and estimates the TAT.
3. Vessel TAT are dependent on various Factors like the productivity, resource allocated, Tide etc.
4. The solution should be such that the Port Authorities are able to effectively predict the Optimum TAT which yields maximum revenue by clearly optimizing the resources used.
Relooking at the problem:
1. Can out Current Terminal Operating system (TOS) predict using the available data points?
2. Do we require an analytical engine to run algorithms?
3. Will Live Dashboard help to control & monitor the Vessel Operation?
4. Say our current prediction is 70% accurate we would definitely want to increase the prediction accuracy by 10%.
5. Can ML be implemented such that the same vessel calling at our port month after month the prediction is actually very accurate?
6. All vessel related information, resources & Tariff for maximum revenue will be provided. Connections to our DB and Data warehouse access are possible.
If we look at the entire process:
1. Vessel agent submits the ETA
2. Port Authority does the berth and resource planning.
3. Operations are undertaken.
4. Changes in Planned TAT.
5. Revision in TAT
6. Other Vessels incoming are affected by such changes in TAT.
7. New TAT Prediction for other incoming vessels.