Last Saturday i attended Startup city at Nimhans convention centre. It was second time i attended. These were few companies that i found interesting.
MedFlo Telematics: They Develop telemedicine kiosks. This project is already started and they deployed few kiosks in rural areas of Kerala.
Vidteq: They show driving directions. Instead of showing just maps they show actual video directions. Among the companies that participated in conference, this is the only service i used before. Though this is a very good thought, i find streaming a bit sluggish. They should provide even more options like controlling the stream speed etc to make it more usable. This is simplified version of Google street maps.
Iken Solutions: They developed recommendation engine for different domains.
Latlong: Its a location based service. You can get the results by SMSing or by installing their custom software. Since GPS devices are not prevalent in India they maped tower information to location.
Ennovasys: Provides supply chain management solutions. Companies can directly track their inventory directly using their software and it is integrated with Google maps.
Panini: They developed Indian language keypad for mobiles. They did statical language modeling to predict the word you are typing. Accordingly they change the characters in the keypad. So you can type faster. You can send the text throughSMS and they even compress the text while sending. So you can send many characters in one SMS. The main disadvantage with this software is, the same software should present on other mobile to read.
June 11, 2009
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hi,
ReplyDeletethat is a nice list, i too have been to that program, found it really interesting,my favorite was vidteq video directions, latlong sms based lbs, medflo telematics in rural healthcare, and mapmy india
The article provides an interesting snapshot of how technology startups were applying practical solutions to real-world problems, from telemedicine and location-based services to supply-chain management and mobile language technology. What stands out is the diversity of ideas and the emphasis on solving specific problems rather than simply adopting technology for its own sake. The discussion of Iken Solutions is particularly interesting because recommendation engines can turn large amounts of information into personalised results, making them useful across many different application domains.
DeleteThe example of Iken Solutions also connects naturally with Recommendation Projects For Final Year, especially because recommendation systems demonstrate how a general machine-learning approach can be adapted to different domains. The article's examples show that the value of such systems depends not only on the underlying algorithm but also on how effectively it addresses the user's actual needs.
Panini's mobile keypad is another notable example because it used statistical language modeling to predict the word being typed and adapt the characters presented to the user. This makes Natural Language Processing Projects particularly relevant, since language prediction illustrates how computational models can use patterns in language to improve the efficiency of human-computer interaction.
Deletemapmyindia i have seen last time. It was a bit erroneous and the price is also high.
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