Abstract: The present disclosure described herein, in general, relates to computer-based platform for facilitating and/or enabling the crowdsourced credit collection. The platform facilitates credit collection by assigning a crowdsourced user in same areas, based on the geolocation of the borrower. The system comprises a credit collection request module, a location module, a training module, a user selection module and a payment module. The credit collection request module is configured to receive the credit collection request to collect the credit due from the borrower. The location module is configured to determine the borrower's geolocation as-well-as the geolocation of the user. The user selection module is configured to identify one or more registered users, present within the predefined range of the borrower's geolocation. Further, the user selection module is configured to select a user from one or more registered users based on predefined parameters associated with each user.

Abstract: The present disclosure relates to system(s) and method(s) for connecting entrepreneurs/borrowers with lenders. The system also maintains a mobile platform to enable the borrowers to generate a borrower profile by providing critical information associated with themselves and/or their enterprise. Further, a web platform may be used by the lenders to browse through different borrower profiles created by borrowers and select a profile to prospect lending opportunities suitable to their needs. Further, the system also provides the moneylenders with an analysis tool to assess and manage the credit risk, sign online loan contracts, and monitor its performance. Once a loan has been agreed, the system provides with the means for the lenders to disburse and for the borrowers multiple options to receive and repay money respectively including the option to employ virtual or cryptocurrency.

Abstract: Disclosed is a method and system for determining credit worthiness of a user on an online platform. The system may comprise a user device further comprising a memory coupled with a processor. The method may comprise analysing the captured personal data, social networking data, the psychometric data and the user's mobile phone metadata and his geolocation data in order to determine user's personal attributes, socio-behaviour attributes, psychometric attributes and socio-economic attributes. The method may further comprise comparing the user-specific print with a plurality of predefined patterns pre-trained by a machine learning model in order to match the user's-specific pattern with at least one of the plurality of predefined patterns. The method may further comprise computing a score for the user based upon the matching of the user-specific print with at least one of the plurality of predefined patterns, wherein the score is indicative of a credit worthiness of the user.

Abstract: The invention relates to a device for anchoring a ligament to an osseous structure comprising a slender body (4) wherein one end (5) has a means (6) for fastening to the osseous structure and wherein the other end (7) has a loop (8) for at least indirectly attaching the ligament to it. This device is characterized in that the fastening means (6) comprises at least two hooks (9) extending in divergent directions and secant to the longitudinal axis (10) of the body (4) of the device, and each hook (9) is carried by the end of a slender branch, and the slender branches constituting the body of the device progressively diverge from one another beginning at the loop (8) with which they are associated.