| 000 | 01583nam a22001817a 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20220107122841.0 | ||
| 008 | 180605b xxu||||| |||| 00| 0 eng d | ||
| 040 | _cIIITMK | ||
| 100 |
_aSutirtha Bhattacharyya (91616014) _914336 |
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| 245 | _aClassification of a startup into product, service or solution company | ||
| 300 | _aMSC MI 2016-2018 | ||
| 500 | _aThe project aims to use machine learning approach to classify a startup into either product or service or solutions category based on its sectors of operation (e.g. AI, IoT, Cyber Security etc). Due to the massive number of existing startups, and new startups emerging everyday, an automated approach must be taken to categorise them quickly and efficiently. The sectors of operation are basically the fields in which a startup operates, hence what they provide as a company can be easily derived from these sectors. Hence the combination of the sectors of a company will define its category, and the aim of the project is to develop a machine learning algorithm that will utilise this principle to find the category of a company given its sectors. The future purpose this algorithm would be deployment as a service and integration into other systems or programs, and also to make other classifications based on similar data. | ||
| 502 |
_bMSC MI _c2016-2018 _dINT _eMr. Pradeep Kumar K |
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| 650 |
_aSTARTUP _914337 |
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| 650 |
_aMACHINE LEARNING _914338 |
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| 942 |
_2ddc _cPR |
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| 999 |
_c6122 _d6122 |
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