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2. CONTENTS
▰ Problem Statement
▰ Introduction
▰ Objective
▰ Literature Survey
▰ Requirement
Specification
▰ Methodology (Your
Proposed System)
2
▰ System Design
(Proposed System)
▰ Social Impact
(Applications of
project)
▰ References
▰ Proposal Submission
Details
3. Problem Statement
3
3
▰ In the future, knowing about the newest AI technologies will help us finish
tasks faster than others. This means that even as AI gets better, it won't
replace humans completely for a long time.
▰ In the world of artificial intelligence (AI), things are changing quickly, and it's
tough to find reliable information about all the new AI technologies. The big
problem is that we need a special place, like a directory, where we can
gather helpful information about AI. This directory should give us the right
and up-to-date details about AI technologies, products, services, and
companies. Also, it should bring together people who are curious and excited
about AI so they can share and learn together.
4. Base Paper
4
▰ Abstract :
Existing AI directories have a number of drawbacks that can make it challenging
for users to find the information they need. One of the most common problems is
outdated information.
Many directories are not regularly updated, which can lead to inaccurate or
obsolete information about AI technologies, products, and services.
This can be particularly problematic given the fast pace of change in the AI field.
Outdated information can misinform users, leading them to make poor decisions
about which technologies to adopt or invest in.
5. Introduction
5
▰ Al Almanac project aims to develop an AI directory that can serve as a go-to
resource for anyone looking to explore, learn, or engage with the world of AI.
The directory will provide accurate and up-to-date information on AI
technologies, products, services, and companies, while also fostering a
vibrant community of AI enthusiasts and experts.
▰ Through this project, we hope to advance the adoption and understanding of
AI, and contribute to the wider AI community.
6. Objective
6
▰ Providing Accurate and Up-to-Date Information
▰ Fostering Community Engagement
▰ Supporting AI Adoption and Implementation
▰ Promoting Transparency and Accountability
▰ Enhancing AI Education and Training
7. Literature Survey
7
Sl.No Title Methodology Advantages Limitations
1 A Survey of Deep
Learning Tools and
Frameworks
This survey reviews various
deep learning tools and
frameworks, comparing their
features, ease of use, and
community support.
Provides insights into
popular deep learning
platforms, aiding users
in selecting the most
suitable tool for their
projects.
The fast-paced
development of new
tools may lead to
potential gaps in the
coverage of the latest
options.
2 Natural Language
Processing Tools:
Overview, Comparison,
and Practical Insights
This work presents an
overview of prominent NLP
tools, conducting a
comparative analysis of their
capabilities in tasks such as
sentiment analysis and
named entity recognition.
Offers practitioners an
understanding of tool
capabilities, aiding in
choosing appropriate
tools for specific NLP
tasks.
Tool performance
might fluctuate with
linguistic variations and
evolving language
trends, impacting
accuracy.
8. Literature Survey
8
Sl.No Title Methodology Advantages Limitations
3 A Comparative Analysis
of Speech Recognition
APIs for Voice Assistants
This analysis evaluates
speech recognition APIs
provided by various
platforms, considering
factors like accuracy,
language support, and
real-time processing.
Offers insights into
selecting speech
recognition tools for
building voice-
enabled applications.
Tool performance
could differ in real-
world environments
due to variations in
accents and
background noise.
11. Social Impact
11
Accessible Knowledge Sharing
Empowering Education
Informed Decision-Making
Promoting Ethical AI
Community Building
Job Market Insights
Inspiring Innovation
12. References
12
1)5)Hany Kasban, Mohsen El-bendary, Dina Salama, A comparative
study of medical imaging techniques, Int. J. Inf. Sci. Intell. Syst. 4
(2015), Clerk Maxwell, A Treatise on Electricity and Magnetism, vol.
2, 3rd ed.,Clarendon, Oxford, 1892,
2)6)D. Surya Prabha, J. Satheesh Kumar, Performance evaluation of
image segmentation using objective methods, Indian J. Sci. Technol.
(February 2016).
3)7)Anam Mustaqeem, Ali Javed, Tehseen Fatima, Int. J. Image Graph.
Signal Process. 10 (2012).
4)8)M.L. Oelze, J.F. Zachary, W.D. O’Brien Jr., Differentiation of tumour
types in vivo by scatterer property estimates and parametric images
using ultrasound backscatter, vol. 1, 5-8 Oct. 2003.
