Jargons eCell IIT Jodhpur
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The document defines key entrepreneurship concepts including minimum viable product (MVP), value proposition, elevator pitch, user acquisition strategy and cost, business model, accelerators, incubators, equity, stake, valuation, scalability, and discusses whether the startup idea is most important. It provides guidance on developing an MVP, value proposition, pitch, acquisition strategy, and business model to attract investors and users.
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📌 Розглянемо типовий життєвий цикл ідеї;
📌 Поговоримо про те, хто й коли має створювати той чи інший тип вимог;
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How to Develop and Successfully Present Business Cases
How to Develop and Successfully Present Business Cases
10 Lessons of Salesforce Nonprofit implementations from a Customer and Integr...
10 Lessons of Salesforce Nonprofit implementations from a Customer and Integr...
More from niveditJain
BTP Learning Outcome.pdf
The document discusses various computer vision and deep learning models including Gaussian mixture models (GMM), UNet, Mask RCNN, and generative models. GMM is described as a way to cluster pixels into superpixels. UNet is a neural network architecture used for image segmentation that uses a convolutional encoder-decoder structure. Mask RCNN is presented as an extension of Faster RCNN that adds a branch for predicting segmentation masks in parallel with bounding boxes. Generative models like PixelRNN are discussed as a way to model pixel values conditioned on previous pixels.
BTP Presentation.pdf
This document outlines a project exploring methods for virtual clothing try-on systems. It discusses using U-Net and Mask R-CNN for cloth parsing, as well as a VITON model for virtual try-on. The goals were to survey existing technologies, perform cloth parsing, understand current systems, and estimate human sizes. Work included implementing U-Net and Mask R-CNN, as well as proposing a size predictor and CGAN-based color changer. Issues included lack of understanding of complex models, poor multi-class segmentation, and no size dataset. Future work focuses on improving models, adding cloth wrapping, collecting data, and optimizing for mobile/AR.
BTP Report.pdf
1. The document summarizes a student project that aims to create a virtual try-on application using augmented reality. It surveys existing methods for tasks like clothing segmentation, human pose estimation, and virtual try-on that could be used to build the application.
2. It discusses approaches the students investigated like using depth cameras for measurements, non-depth based methods using computer vision, parsing clothes and humans, and existing work on 2D virtual try-on.
3. The students implemented initial modules for their pipeline including a U-Net for clothing segmentation trained on images and masks from the Viton dataset.
Project muZiK
Nivedit Jain and Eashan Jindal present their project μZik, a multi-threaded music streaming application that allows multiple users to collaboratively create and listen to playlists. It uses TCP/IP for two-way transmission between a server and multiple client devices, allowing for error detection and correction. The application incorporates artificial intelligence to make personalized playlist recommendations based on a user's past music choices and other attributes.
Bucket Sort
The document discusses the bucket sort algorithm. Bucket sort works by distributing elements into buckets based on their range and then sorting the elements within each bucket. It has average case time complexity of O(n) when the number of buckets k is Θ(n). The document provides pseudocode for bucket sort and analyzes its worst case and average case time complexities. It also discusses potential improvements like using a more efficient sorting algorithm within each bucket.
Super Resolution with OCR Optimization
This project report summarizes research on using deep learning methods for super resolution of document images to improve optical character recognition (OCR) accuracy. Two approaches are studied: SRCNN and incorporating OCR accuracy into the loss function. Experiments include modifying the dataset to focus on text regions and varying the SRCNN architecture. Results show the 2-layer SRCNN trained on the modified dataset achieves the best OCR accuracy, exceeding the ground truth in some cases.
Super Resolution with OCR Optimization
We have implemented and experimented with a lot of deep learning models for better OCR and simultaneously increasing image resolution.
Caste Wise Analysis of MGNREGA in Mandor Block of Jodhpur
We have done a caste wise analysis of Mandor Block of Jodhpur as our Management project, 4th Sem IIT Jodhpur, Project Under Dr. Khitiz Maharishi
Analysis Of MGNREGA on people of Mandor Region on Caste Basis
This report was submitted as a part of Management Project, for the BTech Course (HS211) at Indian Insititute of Technology Jodhpur
Essentialize Extreme Programming practices
XP practices can be categorized into alphas (essential practices), activities, work products, patterns, and competencies. The main alphas are release planning, iteration planning, and iteration. Release planning involves defining requirements with the customer. Iteration planning defines work for the next 2 weeks. Iterations involve designing, implementing, testing, and releasing features. Key activities include requirements capture, analysis, pair programming, testing, small releases, and design improvement. Work products include release plans, tests, code, and releases. Patterns like metaphor, whole team, and coding standards guide the work. A key competency is maintaining a sustainable pace.
Context Free Grammar
This document summarizes a lecture on context free languages and grammars. It includes:
- Definitions of context free grammars and languages. A context free grammar is defined as a 4-tuple (V, Σ, R, S) where V is variables, Σ is terminals, R is rules, and S is the start variable.
- Examples of context free grammars that generate specific languages. Grammars are provided to generate languages of even length palindromes, strings with a^i b^j where i,j > 0, and strings with a^i b^2i.
- Discussion of ambiguity in grammars and languages. A grammar is ambiguous if it can derive
NFA DFA Equivalence theorem
These slides were submitted by Muskan Bathla, Nivedit Jain and Sanskar Mani (all sophomore undergrad in Computer Science and Engineering) as a part of lecture scribing for Theory of Computation Course at Indian Institute of Technology Jodhpur, under the guidance of Dr. Anand Mishra, IIT Jodhpur
Maximum weighted edge biclique problem on bipartite graphs
The document summarizes work on the maximum weighted edge biclique (MWEB) problem on bipartite graphs. It begins with definitions of bicliques and the MWEB problem. It then discusses applications in molecular biology and provides examples to illustrate the problem. The document outlines the authors' work which shows the problem is NP-complete for complete bipartite graphs and can be solved in polynomial time for bipartite permutation and chain graphs. It reviews related literature and discusses hardness results. Finally, it provides an algorithm to find the maximum biclique in a bipartite permutation graph with non-negative edge weights.
Carmeet
CarMeet is an application that connects passengers traveling on the same route so they can carpool together, reducing costs for riders and providing a revenue source for drivers. It uses algorithms to match people based on their locations and compatibility. CarMeet has the potential to significantly reduce traffic and emissions by decreasing the number of vehicles on the road. The founders aim to eventually have over 100 million users within five years by targeting daily commuters, college students, and office workers. Their revenue model involves a prepaid balance that users spend on each ride.
Tesla aquisition of maxwell
This Presentation was a part of economics group project 3rd Semester Indian Institute of Technology Jodhpur
Literature club Introduction 2k19
Introduction Presentation for Literature Club of IIT Jodhpur presented to freshers during club introduction.
Inter IIT Tech Meet 2k19, IIT Jodhpur
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Digital Transformation Frameworks: Driving Digital Excellence
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
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Business Model Canvas
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Part 2 Deep Dive: Navigating the 2024 Slowdown
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Pridesys Garments ERP is one of the leading ERP solution provider, especially for Garments industries which is integrated with
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Jargons eCell IIT Jodhpur
- 2. MVP • The most pared down version of a product that can still be released
- 3. Value proposition • What value can you provide to the customer/investor. • Why should they invest in your product
- 4. Elevator Pitch • Less than one minute/ one sentence pitch of your startup. • Usually "we're X for Y" - is the most common phrase.
- 5. User Acquisition Strategy • How do you plan to get your first users. • For example: word-of-mouth, adverts etc.
- 6. User Acquisition Cost • The cost value to acquire your users. • E.g - marketing, advertisements etc.
- 7. Business Model • A plan for business. • It contains following •the intended customer base •details of financing •Pricing structure of products
- 8. Accelerator • A 3-4 month training program for startups • Investments, mentors and other benefits are provided there
- 9. Incubator • Uses an external management team to give advice. • Functioning is same as Accelerator but takes more equity.
- 10. Equity • Equity refers to the % ownership someone holds in a company
- 11. Stake • The percentage ownership someone has in your company(like equity)
- 12. Valuation • How much investors "believe" your startup is worth.
- 13. Scalability • The ability to add on more services OR expand to other markets.
- 14. Is Idea Most Important to Start Up?
- 16. How to think to start?