-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.html
735 lines (701 loc) · 31.5 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<link rel="stylesheet" href="./style/style.css" />
<link
href="https://fonts.googleapis.com/icon?family=Material+Icons"
rel="stylesheet"
/>
<link
rel="stylesheet"
href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.1/css/all.min.css"
integrity="sha512-+4zCK9k+qNFUR5X+cKL9EIR+ZOhtIloNl9GIKS57V1MyNsYpYcUrUeQc9vNfzsWfV28IaLL3i96P9sdNyeRssA=="
crossorigin="anonymous"
/>
<link rel="stylesheet" href="https://unpkg.com/aos@next/dist/aos.css" />
<link
rel="stylesheet"
href="https://cdnjs.cloudflare.com/ajax/libs/OwlCarousel2/2.3.4/assets/owl.carousel.min.css"
/>
<title>Portfolio</title>
</head>
<body>
<div id="main-container">
<div class="scroll_top scroll_top_active">
<i class="fas fa-arrow-alt-circle-up"></i>
</div>
<!-- ########################## NAVBAR ######################## -->
<div class="header" id="header" data-aos="fade-down">
<div class="navbar-container">
<div class="container">
<div class="navbar">
<div class="logo-container">
<img class="logo" src="./Photos/images.jpeg" alt="" />
</div>
<div id="nav-menu">
<ul class="nav-list text-light">
<li class="nav-item"><a href="#header">Home</a></li>
<li class="nav-item"><a href="#about">About</a></li>
<li class="nav-item"><a href="#skill">Skills</a></li>
<li class="nav-item"><a href="#work">My work</a></li>
<li class="nav-item"><a href="#blog">my Blogs</a></li>
<li class="nav-item"><a href="#contact">contact me</a></li>
</ul>
</div>
<div class="menu-btn">
<i class="fa fa-bars" aria-hidden="true"></i>
</div>
<div class="cross-btn hide">
<i class="fa fa-times" aria-hidden="true"></i>
</div>
</div>
</div>
</div>
</div>
<!-- ########################## HOME ######################## -->
<section class="home" id="home">
<div class="home-container">
<div class="container">
<div class="intro-container" data-aos="fade-right">
<div class="home-content">
<div class="txt text-1">Hello, my name is</div>
<div class="txt text-2">Navjot Singh</div>
<div class="txt text-3">
And I'm <span class="typing"></span>
</div>
<div class="button-container">
<a href="#contact" class="button">Contact</a>
<a href="https://drive.google.com/drive/u/0/folders/1BdZsLQG7wtGxkeKHB7D9HskSwtqOvs7K" target="_blank" class="button">Hire Me</a>
</div>
</div>
<div class="share">
<ul>
<li>
<a class="linkedin" href="https://www.linkedin.com/in/navjot-singh-b090b71ab/" target="_blank"
><i class="fab fa-linkedin"></i
></a>
</li>
<li>
<a class="github" href="https://github.com/Navu4" target="_blank"
><i class="fab fa-github"></i
></a>
</li>
<li>
<a class="Discord" href="https://leetcode.com/NavjotSingh1/" target="_blank"
><img class="fab" src="https://cdn.icon-icons.com/icons2/2389/PNG/512/leetcode_logo_icon_145113.png" alt="" style=" height : 20px, color : #fff"></a>
</li>
<li>
<a class="twitter" href="https://www.hackerrank.com/snav_jot5454" target="_blank"
><i class="fab fa-hackerrank"></i
></a>
</li>
<li>
<a class="instagram" href="https://www.instagram.com/navu__4/"
><i class="fab fa-instagram" target="_blank"></i
></a>
</li>
</ul>
</div>
</div>
<div class="image-container" data-aos="fade-left">
<img
class="home-img"
src="https://github-production-user-asset-6210df.s3.amazonaws.com/51900952/127863738-f9e76678-f76c-4fe5-a4cd-be8cf7ba6b26.jpeg"
alt=""
/>
</div>
</div>
</div>
</section>
<!-- ########################## ABOUT ######################## -->
<section class="about" id="about">
<div class="about-container">
<div class="container">
<div class="title medium-font" data-aos="fade-down">About</div>
<div class="text large-font" data-aos="fade-down">
A Web Developer and Machine Learner, Passionate about new
technologies, algorithms and problem solving.
</div>
<div class="about-content">
<div class="photo-container" data-aos="fade-right">
<img class="photo" src="./Photos/Nav-about.jpg" alt="" />
</div>
<div class="content" data-aos="fade-left">
<div class="subheading medium-font">
A Web Developer and Programmer
</div>
<div class="about_list">
<ul>
<li><strong>Email:</strong>[email protected]</li>
<li>
<strong>Specilization:</strong>Web Development & Machine
Learning
</li>
</ul>
<ul>
<li><strong>Degree:</strong>B.Tech C.S.E.</li>
<li><strong>CGPA:</strong>8</li>
<li><strong>Freelance:</strong>Available</li>
</ul>
</div>
<div class="text large-font">
I am a self-motivated, quick learner and flexible enough to
respond to any problems that comes up and currently doing my
Bachelor in Computer Science Engineering from Guru Gobind
Singh Indraprastha University. I desire to work as an Intern
in any organization.
</div>
<div class="button-container">
<a href="https://drive.google.com/drive/u/0/folders/1BdZsLQG7wtGxkeKHB7D9HskSwtqOvs7K" target="_blank" class="button">Resume</a>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- ######################### SKILLS ###################### -->
<section class="skill" id="skill">
<div class="skill-container">
<div class="container">
<div class="title medium-font" data-aos="fade-down">Skills</div>
<div class="skills-content">
<div class="left-skills" data-aos="fade-right">
<div class="bars">
<div class="info">
<span>Java</span>
<span>85%</span>
</div>
<div class="line java"></div>
</div>
<div class="bars">
<div class="info">
<span>Python</span>
<span>75%</span>
</div>
<div class="line python"></div>
</div>
<div class="bars">
<div class="info">
<span>Data Structure & Algorithm</span>
<span>80%</span>
</div>
<div class="line ds"></div>
</div>
<div class="bars">
<div class="info">
<span>Machine Learning</span>
<span>90%</span>
</div>
<div class="line ml"></div>
</div>
<div class="bars">
<div class="info">
<span>Data Science</span>
<span>75%</span>
</div>
<div class="line dataScience"></div>
</div>
<div class="bars">
<div class="info">
<span>OpenCV</span>
<span>75%</span>
</div>
<div class="line opencv"></div>
</div>
<div class="bars">
<div class="info">
<span>FLask</span>
<span>70%</span>
</div>
<div class="line dataScience"></div>
</div>
</div>
<div class="right-skills" data-aos="fade-left">
<div class="bars">
<div class="info">
<span>HTML/CSS</span>
<span>90%</span>
</div>
<div class="line html-css"></div>
</div>
<div class="bars">
<div class="info">
<span>CSS</span>
<span>80%</span>
</div>
<div class="line css"></div>
</div>
<div class="bars">
<div class="info">
<span>Vanilla JavaScript</span>
<span>90%</span>
</div>
<div class="line js"></div>
</div>
<div class="bars">
<div class="info">
<span>JQuery</span>
<span>80%</span>
</div>
<div class="line jquery"></div>
</div>
<div class="bars">
<div class="info">
<span>ReactJs</span>
<span>80%</span>
</div>
<div class="line react"></div>
</div>
<div class="bars">
<div class="info">
<span>ExpressJs</span>
<span>70%</span>
</div>
<div class="line ejs"></div>
</div>
<div class="bars">
<div class="info">
<span>MySQL</span>
<span>80%</span>
</div>
<div class="line mysql"></div>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- ######################### MY WORK ###################### -->
<section class="mywork" id="work">
<div class="mywork-container">
<div class="container">
<div class="title medium-font" data-aos="fade-down">MY WORK</div>
<div class="mywork-section">
<div class="project-container small-font">
<div class="project" data-aos="fade-down">
<div class="project-title medium-heading">Excel Clone</div>
<div class="stack">
Tech Stack: JavaScript, JQuery, HTML/CSS and Graph & Stack
</div>
<div class="project-content">
• Created a cross-platform Spreadsheet applicatioon using
electron that could run on Linux, Mac and windows. <br />
• Used Jquery, HTML and CSS for UI and adding
functionalities to our app. <br />
• Used Graph Data Structure to implement excel Formula
</div>
<div class="button-container">
<a href="https://github.com/Navu4/Excel-Clone" target="_blank" class="github">Code</a>
<a href="#" target="_blank" class="demo">Demo</a>
</div>
</div>
<div class="project" data-aos="fade-down">
<div class="project-title medium-heading">
Jarvis Assistance
</div>
<div class="stack">
Tech Stack: JavaScript, Puppeteer, Voice Recoginition and
ExpressJs
</div>
<div class="project-content">
• Developed a Jarvis Assistance to make the daily routine
easy and faster using JavaScript, Speech Recognition,
Puppeteer and Express JS. <br />
• The user can start the Jarvis by click on the start and
then click on the mic and speak operation they want to
perform like write a mail for you, arrange a Google meet,
what’s the time and different functionalities as well.
</div>
<div class="button-container">
<a href="https://github.com/Navu4/Jarvis-Asssistance" class="github">Code</a>
<a href="https://www.youtube.com/watch?v=pcVtohCgTHo" class="demo">Demo</a>
</div>
</div>
<div class="project" data-aos="fade-down">
<div class="project-title medium-heading">Camera App</div>
<div class="stack">
Tech Stack: JavaScript, JQuery, Canvas and MediaQuery
</div>
<div class="project-content">
Created a camera and a gallery application that demonstrates
the functionalities of a camera in context of a progressive
Web App. <br />
• Used Media Query to capture video stream from a webcam,
Canvas to capture a frame and put it into an image. <br />
• Used canvas to add image filters and implement
functionalities like zoom in and zoom out
</div>
<div class="button-container">
<a href="https://github.com/Navu4/Camera-App" class="github">Code</a>
<a href="#" class="demo">Demo</a>
</div>
</div>
<div class="project" data-aos="fade-down">
<div class="project-title medium-heading">
Hand Detection for Shredder Machine
</div>
<div class="stack">
Tech Stack: Python, TensorFlow, OpenCV and Deep Learning
</div>
<div class="project-content">
• Developed a software for Head Detection using Faster R-CNN
Algorithm for the worker in the scrap industry to prevent
accidents while using Shredder Machine. <br />
• The Model is trained on 5,000 images for 2 different
classes captured in the industry itself. <br />
</div>
<div class="button-container">
<a href="https://github.com/Navu4/Hand-Detection-for-Shredder-Machine-" class="github">Code</a>
<a href="https://www.youtube.com/watch?v=OfNNqvqo5PE" class="demo">Demo</a>
</div>
</div>
<div class="project" data-aos="fade-down">
<div class="project-title medium-heading">
Face Recoginition for Criminal Detection
</div>
<div class="stack">
Tech Stack: Python, Tkinter, OpenCV and Machine Learning
</div>
<div class="project-content">
• Developed a software using Tkinter, OpenCV and Machine
Learning Models to build a face recognition software to
detect criminals in images and videos, noting theirtime of
occurrences. <br />
• Using DBSCAN Clustering and LBPHFaceRecognizer fortraining
the Model.
</div>
<div class="button-container">
<a href="https://github.com/Navu4/Facial-Recognition-for-Crime-Detection" class="github">Code</a>
<a href="https://www.youtube.com/watch?v=M5v2rXOalcw" class="demo">Demo</a>
</div>
</div>
<div class="project" data-aos="fade-down">
<div class="project-title medium-heading">
BigMart Sales Prediction
</div>
<div class="stack">
Tech Stack: Python, HTML/CSS, FLask and Machine Learning
</div>
<div class="project-content">
• Build a web application using Flask to find out the sales
of each product at a particular store using Machine Learning
Algorithms and deployed it on cloud using Heroku. <br />
• Implemented whole life cycle of Data Science Project- Data
Validation, Data Preprocessing, Model Building,
Hyperparameter Tuninig, Prediction and Deployment.
</div>
<div class="button-container">
<a href="https://github.com/Navu4/BigMart-Sales-Prediction" class="github">Code</a>
<a href="https://bigmart-sales-prediction.herokuapp.com/" class="demo">Demo</a>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- ######################### MY Blog ###################### -->
<section class="myblog" id="blog">
<div class="myblog-container">
<div class="container">
<div class="title medium-font" data-aos="fade-down">MY BLOG</div>
<div class="subcontent" data-aos="fade-down">
Technical Content Writer at Medium, I publish technical article in
the field of Data Science and Machine learning. Author at
<strong
>Analytics Vidhiya, The Startup and AI in plain English</strong
>.
</div>
<div class="blog-section" data-aos="fade-down">
<div class="left-arrow arrow" onclick="leftShift()">
<img src="./Photos/left-arrow.png" alt="left-arrow" />
</div>
<div class="blog-container">
<div class="article blog1">
<div class="heading flex">What is K-Means Clustering</div>
<div class="publish">
Published in
<strong>Artificial Intelligence in Plain English</strong>
</div>
<div class="content">
Clustering is similar to classification but the difference
is we don’t know what are we looking for. Clustering means
grouping identical data into clusters or segments. We use a
clustering algorithm to find out the similarity and to
classify the data into different clusters.
</div>
<div class="button">
<a
target="_blank"
href="https://ai.plainenglish.io/what-is-k-means-clustering-3060791cb589"
>More</a
>
</div>
</div>
<div class="article blog2">
<div class="heading flex">What Is Naive Bayes?</div>
<div class="publish">
Published in <strong>The Startup</strong>
</div>
<div class="content">
Naive Bayes is a classification technique based on an
assumption of independence between predictors which is known
as Bayes’ theorem. In simple terms, a Naive Bayes classifier
assumes that the presence of a particular feature in a class
is unrelated to the presence of any other feature.
</div>
<div class="button">
<a
target="_blank"
href="https://ai.plainenglish.io/what-is-k-means-clustering-3060791cb589"
>More</a
>
</div>
</div>
<div class="article blog3">
<div class="heading flex">Random Forest</div>
<div class="publish">
Published in <strong>Analytics Vidhya</strong>
</div>
<div class="content">
Random Forest is a supervised learning algorithm. Like you
can already see from it’s name, it creates a forest and
makes it somehow random. The forest it builds, is an
ensemble of Decision Trees, most of the time trained with
the bagging method.
</div>
<div class="button">
<a
target="_blank"
href="https://medium.com/analytics-vidhya/random-forest-e205561c3489"
>More</a
>
</div>
</div>
<div class="article blog4 hide">
<div class="heading flex">Support Vector Machine</div>
<div class="publish">
Published in <strong>The Startup</strong>
</div>
<div class="content">
Support Vector Machine is a supervised machine learning
algorithm.The goal of the SVM is to train a model that
assigns new unseen objects into a particular category.
</div>
<div class="button">
<a
target="_blank"
href="https://medium.com/swlh/decision-tree-regression-c977b732eb51"
>More</a
>
</div>
</div>
<div class="article blog5 hide">
<div class="heading flex">Decision Tree Regression</div>
<div class="publish">
Published in <strong>The Startup</strong>
</div>
<div class="content">
Decision Tree is a supervised machine learning algorithm and
it is one of the popular machine learning algorithm. It is a
tree like structure constructed on the basis of
attributes/features . Decision Trees is the non-parametric
supervised learning approach.
</div>
<div class="button">
<a
target="_blank"
href="https://medium.com/analytics-vidhya/k-nearest-neighbors-a5ea981b6bc9"
>More</a
>
</div>
</div>
<div class="article blog6 hide">
<div class="heading flex">K Nearest Neighbors</div>
<div class="publish">
Published in <strong>Analytics Vidhya</strong>
</div>
<div class="content">
KNN falls in the supervised learning family of algorithms. K
nearest neighbors is a simple algorithm that stores all
available cases and classifies new cases based on a
similarity measure.
</div>
<div class="button">
<a
target="_blank"
href="https://medium.com/analytics-vidhya/k-nearest-neighbors-a5ea981b6bc9"
>More</a
>
</div>
</div>
<div class="article blog7 hide">
<div class="heading flex">Logistic Regression</div>
<div class="content">
In linear Regression, the goal is to find the best fit line
that can accurately predict the output for the continuous
dependent variable.Linear Regression predicts the
probability of outcome can exceed 0 and 1 range but the
probability range is 0 to 1 it means that the parts of the
line that are above y= 1 and below y=0 does not make any
sense in reference to logistic regression.
</div>
<div class="button">
<a
target="_blank"
href="https://medium.com/@snav.jot5454/logistic-regression-9e4077800a45"
>More</a
>
</div>
</div>
<div class="article blog8 hide">
<div class="heading flex">Support Vector Regression</div>
<div class="publish">
Published in <strong>Analytics Vidhya</strong>
</div>
<div class="content">
The goal of the SVM is to train a model that assigns new
unseen objects into a particular category. It achieves this
by creating a linear partition of the feature space into two
categories.
</div>
<div class="button">
<a
target="_blank"
href="https://medium.com/analytics-vidhya/support-vector-regression-for-machine-learning-843978ba6279"
>More</a
>
</div>
</div>
<div class="article blog9 hide">
<div class="heading flex">Decision Trees Classification</div>
<div class="publish">
Published in <strong>Analytics Vidhya</strong>
</div>
<div class="content">
Decision tree is one of the most popular machine learning
algorithms. It is basically tree like structure constructed
on the basis of attributes/features . Decision Trees is the
non-parametric supervised learning approach.
</div>
<div class="button">
<a
target="_blank"
href="https://medium.com/analytics-vidhya/decision-trees-d99d1646de73"
>More</a
>
</div>
</div>
<div class="article blog10 hide">
<div class="heading flex">Linear Regression</div>
<div class="publish">
Published in <strong>Analytics Vidhya</strong>
</div>
<div class="content">
Linear Regression is one of the most simple Machine learning
algorithm used for solving regression problems. It is used
for predicting the continuous dependent variable with the
help of independent variables.The goal of the Linear
regression is to find the best fit line that can accurately
predict the output for the continuous dependent variable.
</div>
<div class="button">
<a
target="_blank"
href="https://medium.com/analytics-vidhya/linear-regression-dce0b8e3506e"
>More</a
>
</div>
</div>
</div>
<div class="right-arrow arrow" onclick="rightShift()">
<img src="./Photos/right-arrow.png" alt="right-arrow" />
</div>
</div>
</div>
</div>
</section>
<!-- ######################### CONTACT ME ###################### -->
<section class="contactme" id="contact">
<div class="contactme-container">
<div class="container">
<div class="title medium-font">CONTACT ME</div>
<div class="contact-content">
<div class="column left-content" data-aos="fade-right">
<div class="getInTouch big-font">Get in Touch</div>
<div class="icons small-font">
<div class="row">
<img src="./Photos/name.png" alt="" />
<div class="info">
<div class="head">Name</div>
<div class="sub-title">Navjot Singh</div>
</div>
</div>
<div class="row">
<img src="./Photos/addres.png" alt="" />
<div class="info">
<div class="head">Address</div>
<div class="sub-title">New Delhi, India</div>
</div>
</div>
<div class="row">
<img src="./Photos/mail.png" alt="" />
<div class="info">
<div class="head">Email</div>
<div class="sub-title">[email protected]</div>
</div>
</div>
</div>
</div>
<div class="column right-content" data-aos="fade-left">
<div class="medium-font">Message me</div>
<form action="#" class="contact-form">
<div class="name-content">
<input type="text" placeholder="Name" class="name" />
</div>
<div class="email-content">
<input type="mail" class="email" placeholder="Email" />
</div>
<div class="subject-content">
<input type="text" class="subject" placeholder="Subject" />
</div>
<div class="message-content" contenteditable="true">
Message...
</div>
<div class="button">Send</div>
</form>
</div>
</div>
</div>
</div>
</section>
<!-- ######################### FOOTER ###################### -->
<footer class="footer">
<div class="container">
<div class="name">NAVJOT SINGH</div>
<div class="social-media-links">
<i class="fab fa-facebook fa-4x"></i>
<i class="fab fa-twitter fa-4x"></i>
<i class="fab fa-instagram fa-4x"></i>
</div>
<div class="copyright">© 2020 copyright all right reserved</div>
</div>
</footer>
</div>
</body>
<script src="./Js/carousel.js"></script>
<script src="./Js/typing.js"></script>
<script src="./Js/scroll.js"></script>
<script src="./Js/menu.js"></script>
<script src="https://unpkg.com/aos@next/dist/aos.js"></script>
<script>
AOS.init({
offset: 200, // offset (in px) from the original trigger point
delay: 0, // values from 0 to 3000, with step 50ms
duration: 500, // values from 0 to 3000, with step 50ms
});
</script>
</html>