10 2014 22 : 44 Image# 14978123836 Page 1 31 Report Of Receipts And Disbursemen: Fill & Download for Free

I am listing here all the Indian movies I have already rated 10/10 in IMDB. I am pretty sure some of them you haven't even heard of.PS- Not in particular order. Not edited neatly.1.Raincoat (2004)2. Aashayein (2010)3. Liar's Dice (2013)4. Newton (20175. Dhobi Ghat (20106. Vikram Vedha (2017)7. Island City (2015)8. Page 3 (2005)9. Earth (1998)10. The Lunchbox (2013)11. Hazaaron Khwaishein Aisi (2003)12. Dor (2006)13. https://www.imdb.com/title/tt3614516/14. Swades (2004)15. Pather Panchali (1955)16. Guide (1965)17. https://www.imdb.com/title/tt0367495/18. https://www.imdb.com/title/tt0066763/19. Ugly (2013)20. Ship of Theseus (201221. Masaan (2015)22. A Death in the Gunj (2016)23.Monsoon Wedding (2001)24. https://www.imdb.com/title/tt3453964/25. Court (2014)26. Lootera (2013)27. I Am (2010)28. Gangs of Wasseypur (2012)29. Kapoor & Sons (2016)30. Talvar (2015)31. Tamasha (2015)32. Rang De Basanti (2006)33. https://www.imdb.com/title/tt2356180/34. https://www.imdb.com/title/tt1093370/35. Haider (2014)36. Udta Punjab (2016)37. A Wednesday (2008)38. Dangal (2016)39.40. Pink (2016)41. Manjhi: The Mountain Man (2015)42. Fanaa (2006)43. Shanghai (2012)44. Raanjhanaa (2013)45. https://www.imdb.com/title/tt2980794/46. Manorama Six Feet Under (2007)47. Dil Se.. (1998)48. Veer-Zaara (2004)49. Barfi! (2012)50. Chak de! India (2007)51. https://www.imdb.com/title/tt0374887/These are a few gems from the vast ocean of Indian cinema. I will keep editing the list whenever I recall, specifically from regional languages.Image source- snapshots from IMDB

Here are some resources to start learning Deep Learning:Free Online BooksDeep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Courville (05/07/2015)Neural Networks and Deep Learning by Michael Nielsen (Dec 2014)Deep Learning by Microsoft Research (2013)Deep Learning Tutorial by LISA lab, University of Montreal (Jan 6 2015)neuraltalk by Andrej Karpathy : numpy-based RNN/LSTM implementationAn introduction to genetic algorithmsArtificial Intelligence: A Modern ApproachDeep Learning in Neural Networks: An OverviewCoursesMachine Learning - Stanford by Andrew Ng in Coursera (2010-2014)Machine Learning - Caltech by Yaser Abu-Mostafa (2012-2014)Machine Learning - Carnegie Mellon by Tom Mitchell (Spring 2011)Neural Networks for Machine Learning by Geoffrey Hinton in Coursera (2012)Neural networks class by Hugo Larochelle from Université de Sherbrooke (2013)Deep Learning Course by CILVR lab @ NYU (2014)A.I - Berkeley by Dan Klein and Pieter Abbeel (2013)A.I - MIT by Patrick Henry Winston (2010)Vision and learning - computers and brains by Shimon Ullman, Tomaso Poggio, Ethan Meyers @ MIT (2013)Convolutional Neural Networks for Visual Recognition - Stanford by Fei-Fei Li, Andrej Karpathy (2015)Deep Learning for Natural Language Processing - StanfordNeural Networks - usherbrookeMachine Learning - Oxford (2014-2015)Deep Learning - Nvidia (2015)Videos and LecturesHow To Create A Mind By Ray KurzweilDeep Learning, Self-Taught Learning and Unsupervised Feature Learning By Andrew NgRecent Developments in Deep Learning By Geoff HintonThe Unreasonable Effectiveness of Deep Learning by Yann LeCunDeep Learning of Representations by Yoshua bengioPrinciples of Hierarchical Temporal Memory by Jeff HawkinsMachine Learning Discussion Group - Deep Learning w/ Stanford AI Lab by Adam CoatesMaking Sense of the World with Deep Learning By Adam CoatesDemystifying Unsupervised Feature Learning By Adam CoatesVisual Perception with Deep Learning By Yann LeCunThe Next Generation of Neural Networks By Geoffrey Hinton at GoogleTechTalksThe wonderful and terrifying implications of computers that can learn By Jeremy Howard at TEDxBrusselsUnsupervised Deep Learning - Stanford by Andrew Ng in Stanford (2011)Natural Language Processing By Chris Manning in StanfordPapersImageNet Classification with Deep Convolutional Neural NetworksUsing Very Deep Autoencoders for Content Based Image RetrievalLearning Deep Architectures for AICMU’s list of papersNeural Networks for Named Entity Recognition zipTraining tricks by YBGeoff Hinton's reading list (all papers)Supervised Sequence Labelling with Recurrent Neural NetworksStatistical Language Models based on Neural NetworksTraining Recurrent Neural NetworksRecursive Deep Learning for Natural Language Processing and Computer VisionBi-directional RNNLSTMGRU - Gated Recurrent UnitGFRNN . .LSTM: A Search Space OdysseyA Critical Review of Recurrent Neural Networks for Sequence LearningVisualizing and Understanding Recurrent NetworksWojciech Zaremba, Ilya Sutskever, An Empirical Exploration of Recurrent Network ArchitecturesRecurrent Neural Network based Language ModelExtensions of Recurrent Neural Network Language ModelRecurrent Neural Network based Language Modeling in Meeting RecognitionDeep Neural Networks for Acoustic Modeling in Speech RecognitionSpeech Recognition with Deep Recurrent Neural NetworksReinforcement Learning Neural Turing MachinesLearning Phrase Representations using RNN Encoder-Decoder for Statistical Machine TranslationGoogle - Sequence to Sequence Learning with Nneural NetworksMemory NetworksPolicy Learning with Continuous Memory States for Partially Observed Robotic ControlMicrosoft - Jointly Modeling Embedding and Translation to Bridge Video and LanguageNeural Turing MachinesAsk Me Anything: Dynamic Memory Networks for Natural Language ProcessingTutorialsUFLDL Tutorial 1UFLDL Tutorial 2Deep Learning for NLP (without Magic)A Deep Learning Tutorial: From Perceptrons to Deep NetworksDeep Learning from the Bottom upTheano TutorialNeural Networks for MatlabUsing convolutional neural nets to detect facial keypoints tutorialTorch7 TutorialsThe Best Machine Learning Tutorials On The WebVGG Convolutional Neural Networks PracticalDatasetsMNIST Handwritten digitsGoogle House Numbers from street viewCIFAR-10 and CIFAR-1004.IMAGENETTiny Images 80 Million tiny images6.Flickr Data 100 Million Yahoo datasetBerkeley Segmentation Dataset 500UC Irvine Machine Learning RepositoryFlickr 8kFlickr 30kMicrosoft COCOVQAImage QAAT&T Laboratories Cambridge face databaseAVHRR PathfinderAir Freight - The Air Freight data set is a ray-traced image sequence along with ground truth segmentation based on textural characteristics. (455 images + GT, each 160x120 pixels). (Formats: PNG)Amsterdam Library of Object Images - ALOI is a color image collection of one-thousand small objects, recorded for scientific purposes. In order to capture the sensory variation in object recordings, we systematically varied viewing angle, illumination angle, and illumination color for each object, and additionally captured wide-baseline stereo images. We recorded over a hundred images of each object, yielding a total of 110,250 images for the collection. (Formats: png)Annotated face, hand, cardiac & meat images - Most images & annotations are supplemented by various ASM/AAM analyses using the AAM-API. (Formats: bmp,asf)Image Analysis and Computer GraphicsBrown University Stimuli - A variety of datasets including geons, objects, and "greebles". Good for testing recognition algorithms. (Formats: pict)CAVIAR video sequences of mall and public space behavior - 90K video frames in 90 sequences of various human activities, with XML ground truth of detection and behavior classification (Formats: MPEG2 & JPEG)Machine Vision UnitCCITT Fax standard images - 8 images (Formats: gif)CMU CIL's Stereo Data with Ground Truth - 3 sets of 11 images, including color tiff images with spectroradiometry (Formats: gif, tiff)CMU PIE Database - A database of 41,368 face images of 68 people captured under 13 poses, 43 illuminations conditions, and with 4 different expressions.CMU VASC Image Database - Images, sequences, stereo pairs (thousands of images) (Formats: Sun Rasterimage)Caltech Image Database - about 20 images - mostly top-down views of small objects and toys. (Formats: GIF)Columbia-Utrecht Reflectance and Texture Database - Texture and reflectance measurements for over 60 samples of 3D texture, observed with over 200 different combinations of viewing and illumination directions. (Formats: bmp)Computational Colour Constancy Data - A dataset oriented towards computational color constancy, but useful for computer vision in general. It includes synthetic data, camera sensor data, and over 700 images. (Formats: tiff)Computational Vision LabContent-based image retrieval database - 11 sets of color images for testing algorithms for content-based retrieval. Most sets have a description file with names of objects in each image. (Formats: jpg)Efficient Content-based Retrieval GroupDensely Sampled View Spheres - Densely sampled view spheres - upper half of the view sphere of two toy objects with 2500 images each. (Formats: tiff)Computer Science VII (Graphical Systems)Digital Embryos - Digital embryos are novel objects which may be used to develop and test object recognition systems. They have an organic appearance. (Formats: various formats are available on request)Univerity of Minnesota Vision LabEl Salvador Atlas of Gastrointestinal VideoEndoscopy - Images and Videos of his-res of studies taken from Gastrointestinal Video endoscopy. (Formats: jpg, mpg, gif)FG-NET Facial Aging Database - Database contains 1002 face images showing subjects at different ages. (Formats: jpg)FVC2000 Fingerprint Databases - FVC2000 is the First International Competition for Fingerprint Verification Algorithms. Four fingerprint databases constitute the FVC2000 benchmark (3520 fingerprints in all).Biometric Systems Lab - University of BolognaFace and Gesture images and image sequences - Several image datasets of faces and gestures that are ground truth annotated for benchmarkingGerman Fingerspelling Database - The database contains 35 gestures and consists of 1400 image sequences that contain gestures of 20 different persons recorded under non-uniform daylight lighting conditions. (Formats: mpg,jpg)Language Processing and Pattern RecognitionGroningen Natural Image Database - 4000+ 1536x1024 (16 bit) calibrated outdoor images (Formats: homebrew)ICG Testhouse sequence - 2 turntable sequences from ifferent viewing heights, 36 images each, resolution 1000x750, color (Formats: PPM)Institute of Computer Graphics and VisionIEN Image Library - 1000+ images, mostly outdoor sequences (Formats: raw, ppm)INRIA's Syntim images database - 15 color image of simple objects (Formats: gif)INRIAINRIA's Syntim stereo databases - 34 calibrated color stereo pairs (Formats: gif)Image Analysis Laboratory - Images obtained from a variety of imaging modalities -- raw CFA images, range images and a host of "medical images". (Formats: homebrew)Image Analysis LaboratoryImage Database - An image database including some texturesJAFFE Facial Expression Image Database - The JAFFE database consists of 213 images of Japanese female subjects posing 6 basic facial expressions as well as a neutral pose. Ratings on emotion adjectives are also available, free of charge, for research purposes. (Formats: TIFF Grayscale images.)ATR Research, Kyoto, JapanJISCT Stereo Evaluation - 44 image pairs. These data have been used in an evaluation of stereo analysis, as described in the April 1993 ARPA Image Understanding Workshop paper ``The JISCT Stereo Evaluation'' by R.C.Bolles, H.H.Baker, and M.J.Hannah, 263--274 (Formats: SSI)MIT Vision Texture - Image archive (100+ images) (Formats: ppm)MIT face images and more - hundreds of images (Formats: homebrew)Machine Vision - Images from the textbook by Jain, Kasturi, Schunck (20+ images) (Formats: GIF TIFF)Mammography Image Databases - 100 or more images of mammograms with ground truth. Additional images available by request, and links to several other mammography databases are provided. (Formats: homebrew)ftp://ftp.cps.msu.edu/pub/prip - many images (Formats: unknown)Middlebury Stereo Data Sets with Ground Truth - Six multi-frame stereo data sets of scenes containing planar regions. Each data set contains 9 color images and subpixel-accuracy ground-truth data. (Formats: ppm)Middlebury Stereo Vision Research Page - Middlebury CollegeModis Airborne simulator, Gallery and data set - High Altitude Imagery from around the world for environmental modeling in support of NASA EOS program (Formats: JPG and HDF)NIST Fingerprint and handwriting - datasets - thousands of images (Formats: unknown)NIST Fingerprint data - compressed multipart uuencoded tar fileNLM HyperDoc Visible Human Project - Color, CAT and MRI image samples - over 30 images (Formats: jpeg)National Design Repository - Over 55,000 3D CAD and solid models of (mostly) mechanical/machined engineerign designs. (Formats: gif,vrml,wrl,stp,sat)Geometric & Intelligent Computing LaboratoryOSU (MSU) 3D Object Model Database - several sets of 3D object models collected over several years to use in object recognition research (Formats: homebrew, vrml)OSU (MSU/WSU) Range Image Database - Hundreds of real and synthetic images (Formats: gif, homebrew)OSU/SAMPL Database: Range Images, 3D Models, Stills, Motion Sequences - Over 1000 range images, 3D object models, still images and motion sequences (Formats: gif, ppm, vrml, homebrew)Signal Analysis and Machine Perception LaboratoryOtago Optical Flow Evaluation Sequences - Synthetic and real sequences with machine-readable ground truth optical flow fields, plus tools to generate ground truth for new sequences. (Formats: ppm,tif,homebrew)Vision Research Groupftp://ftp.limsi.fr/pub/quenot/opflow/testdata/piv/ - Real and synthetic image sequences used for testing a Particle Image Velocimetry application. These images may be used for the test of optical flow and image matching algorithms. (Formats: pgm (raw))LIMSI-CNRS/CHM/IMM/visionLIMSI-CNRSPhotometric 3D Surface Texture Database - This is the first 3D texture database which provides both full real surface rotations and registered photometric stereo data (30 textures, 1680 images). (Formats: TIFF)SEQUENCES FOR OPTICAL FLOW ANALYSIS (SOFA) - 9 synthetic sequences designed for testing motion analysis applications, including full ground truth of motion and camera parameters. (Formats: gif)Computer Vision GroupSequences for Flow Based Reconstruction - synthetic sequence for testing structure from motion algorithms (Formats: pgm)Stereo Images with Ground Truth Disparity and Occlusion - a small set of synthetic images of a hallway with varying amounts of noise added. Use these images to benchmark your stereo algorithm. (Formats: raw, viff (khoros), or tiff)Stuttgart Range Image Database - A collection of synthetic range images taken from high-resolution polygonal models available on the web (Formats: homebrew)Department Image UnderstandingThe AR Face Database - Contains over 4,000 color images corresponding to 126 people's faces (70 men and 56 women). Frontal views with variations in facial expressions, illumination, and occlusions. (Formats: RAW (RGB 24-bit))Purdue Robot Vision LabThe MIT-CSAIL Database of Objects and Scenes - Database for testing multiclass object detection and scene recognition algorithms. Over 72,000 images with 2873 annotated frames. More than 50 annotated object classes. (Formats: jpg)The RVL SPEC-DB (SPECularity DataBase) - A collection of over 300 real images of 100 objects taken under three different illuminaiton conditions (Diffuse/Ambient/Directed). -- Use these images to test algorithms for detecting and compensating specular highlights in color images. (Formats: TIFF )Robot Vision LaboratoryThe Xm2vts database - The XM2VTSDB contains four digital recordings of 295 people taken over a period of four months. This database contains both image and video data of faces.Centre for Vision, Speech and Signal ProcessingTraffic Image Sequences and 'Marbled Block' Sequence - thousands of frames of digitized traffic image sequences as well as the 'Marbled Block' sequence (grayscale images) (Formats: GIF)IAKS/KOGSU Bern Face images - hundreds of images (Formats: Sun rasterfile)U Michigan textures (Formats: compressed raw)U Oulu wood and knots database - Includes classifications - 1000+ color images (Formats: ppm)UCID - an Uncompressed Colour Image Database - a benchmark database for image retrieval with predefined ground truth. (Formats: tiff)UMass Vision Image Archive - Large image database with aerial, space, stereo, medical images and more. (Formats: homebrew)UNC's 3D image database - many images (Formats: GIF)USF Range Image Data with Segmentation Ground Truth - 80 image sets (Formats: Sun rasterimage)University of Oulu Physics-based Face Database - contains color images of faces under different illuminants and camera calibration conditions as well as skin spectral reflectance measurements of each person.Machine Vision and Media Processing UnitUniversity of Oulu Texture Database - Database of 320 surface textures, each captured under three illuminants, six spatial resolutions and nine rotation angles. A set of test suites is also provided so that texture segmentation, classification, and retrieval algorithms can be tested in a standard manner. (Formats: bmp, ras, xv)Machine Vision GroupUsenix face database - Thousands of face images from many different sites (circa 994)View Sphere Database - Images of 8 objects seen from many different view points. The view sphere is sampled using a geodesic with 172 images/sphere. Two sets for training and testing are available. (Formats: ppm)PRIMA, GRAVIRVision-list Imagery Archive - Many images, many formatsWiry Object Recognition Database - Thousands of images of a cart, ladder, stool, bicycle, chairs, and cluttered scenes with ground truth labelings of edges and regions. (Formats: jpg)3D Vision GroupYale Face Database - 165 images (15 individuals) with different lighting, expression, and occlusion configurations.Yale Face Database B - 5760 single light source images of 10 subjects each seen under 576 viewing conditions (9 poses x 64 illumination conditions). (Formats: PGM)Center for Computational Vision and ControlFrameworksCaffeTorch7Theanocuda-convnetconvetjsCcvNuPICDeepLearning4JBrainDeepLearnToolboxDeepnetDeeppyJavaNNhebelMocha.jlOpenDLcuDNNMGLKUnet.jlNvidia DIGITS - a web app based on CaffeNeon - Python based Deep Learning FrameworkKeras - Theano based Deep Learning LibraryChainer - A flexible framework of neural networks for deep learningRNNLM ToolkitRNNLIB - A recurrent neural network librarychar-rnnMatConvNet: CNNs for MATLABMinerva - a fast and flexible tool for deep learning on multi-GPUMiscellaneousGoogle Plus - Deep Learning CommunityCaffe Webinar100 Best Github Resources in Github for DLWord2VecCaffe DockerFileTorontoDeepLEarning convnetgfx.jsTorch7 Cheat sheetMisc from MIT's 'Advanced Natural Language Processing' courseMisc from MIT's 'Machine Learning' courseMisc from MIT's 'Networks for Learning: Regression and Classification' courseMisc from MIT's 'Neural Coding and Perception of Sound' courseImplementing a Distributed Deep Learning Network over SparkA chess AI that learns to play chess using deep learning.Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMindWiki2Vec. Getting Word2vec vectors for entities and word from Wikipedia DumpsThe original code from the DeepMind article + tweaksGoogle deepdream - Neural Network artAn efficient, batched LSTM.A recurrent neural network designed to generate classical music.

1. The name ‘India’ is derived from the river Indus. It is a valley around which people settled in earlier times.2. India is the world’s oldest, largest and continuous civilization – the Indus Valley civilization.3. India is the largest democracy in the world.4. India has the largest postal system in the world with more than 150,000 post offices, which is thrice the size of that of China.5. India has more than 300,000 active mosques. This outnumbers any other country in the world, even the Muslim countries.6. The second largest pool of engineersand scientists is from India.7. India is the second largest English speaking country in the world – 125,226,449 numbers of English speakers.8. India has the world’s largest Hindu population. Nearly 81% of its population identifies itself as Hindu. India is one of the three countries (other are Nepal and Mauritius) in the world where Hinduism is the majority.9. Bollywood is the largest movie industry in terms of output, followed by Nollywood – the movie industry of Nigeria.10. India is also the country in which the highest number of votes were cast for a national general election. In 2009, the country saw its 417 million people cast their votes in five phases to elect the 543 members of the 15th Lok Sabha.11. A world record was set when 485 children dressed as Mahatma Gandhigathered and walked in Kolkata. The walk was a demonstration to attain peace in the country and the world.12. Jyoti Kisange Amge is the world’s shortest living woman. She was born on 16 December 1993. She is 62.8 centimeters tall (2 ft 0.6 in.)13. With 37 teeth in his mouth, Vijay Kumar V.A. from India has the most teeth in the world.14. Indian railway employs more than a million people, making it the largest employers in the world.A locomotive from the Indian Railways.15. India is the 7thlargest country in the world and the largest democracy.16. The City Montessori School, in Lucknow, is the world’s largest school in terms of students with over 45,000 inductees.17. India is the world’s largest milk producer, with 16 percent of global production, followed by the United States of America, China, Pakistan, and Brazil.18. India leads the world with the largest number of films.19. Over 4700 daily newspapers in more than 300 languages are produced in India.20. The largest wholesale spice marketof Asia is in India – Khari Baoli, New Delhi.21. India’s road network is the world’s second largest with 4,865,000 km of roads constructed. (2014)22. India is house to the world’s biggest family: 39 wives, 94 children, and 33 grandchildren. The family lives in a 100-room, four-story house set amidst the hills of Baktwang village in the Indian state of Mizoram.The world’s biggest family from India.Report this adFacts about Indians and their inventions23. Mahatma Gandhi is known as The Father of the Nation. His full name was Mohandas Karamchand Gandhi. He died in 1948 and was responsible for the freedom of India along with other freedom fighters.24. The highest award in the country is Bharat Ratna.25. ‘Zero’ in the number system was invented by a mathematician from India. His name was Aryabhatta.26. The Human Calculator, Shakuntala Devi is a math prodigy from India. She could calculate 7,686,369,774,870 × 2,465,099,745,779 and provided the correct answer in mere 28 seconds.27. Chess was invented in India.28. Apart from U.S. and Japan, only India has built a super computer indigenously.29. Yoga originated from India and is still in existence for over 5000 years.30. Calculus, Trigonometry, and Algebra originated in India.Flag of IndiaFlag of India. Image credit – CIA31. The decimal system and place value system were developed in India around 100 B.C.32. Snakes and ladders – the game, was invented in India in the 13th century by a poet saint Gyandev. The ladders represent the virtues while the snakes indicate vices. The game was designed on the basis of the concept that good deeds take you to heaven while bad deeds take you to hell.33. 90 countries from all over the world buy software from India.34. Takshila, the first ever university in the world started around 700 BC in India.35. India is the place of origin of Buddhism and Jainism.36. In the August of 1982, ‘the highest bridge in the world’ – the Baily Bridge, was built by Indian Army.37. Switzerland has declared May 26 as ‘The Science Day’ in honor of visiting President APJ Abdul Kalam. Sadly, the former president passed away on 27 July, 2015 in Shillong, Meghalaya, India.38. More than $6 million is donated in the Vishnu temple in the city of Tirupathi. It was built in the 10th century.39. Benaras, now known as Varanasi is the oldest continuously inhabited city in the world. Buddha had also visited it.40. India has the world’s largest attended events. The biggest of which is ‘Kumbha Mela’ of 2001 – attended by 60 million people and was seen from space.41. India has the world’s highest cricket ground which is in Chail, Himachal Pradesh. It is 2444 meters above the sea level and was built in 1983.42. More than 54 crore people voted in 2014 general elections. This is more than the entire population of the U.S., U.K., Japan, and Australia combined.43. India’s space program is among the top five space programs in the world despite having budget constraints.Facts about Indian history, famous places and more…The map of India44. There is a lake built in India due to the impact of a meteor. It is the ‘Lonar Lake’ in Maharashtra.45. The British Raj, or British rule, lasted from 1858 to 1947.46. The Brihadeswara Temple is situated in Tamil Nadu is the first granite temple of the world. It was built in just five years during the 11th century.47. Before the 18thcentury, India was one of the richest countries in the world.48. India has the biggest population of vegetarians in the world.49. Mawsynram, Meghalaya in India is the wettest place with 11871 mm of average rainfall. This village is 15 km away from Cherrapunji.50. India is the world’s largest importer of arms but it has never invaded or attacked any country.51. India has never hosted the Olympic Games.52. The world’s highest battlefield (Siachin) is controlled by India.53. Vande Mataram is India’s national song and Jana Gana Mana is its national anthem.54. Indian Lotus is its national flower.55. Indira Gandhi was India’s first and the only female Prime Minister till date.56. White tigers are only found among Indian tigers.57. The highest road is at Khardungla (Leh-Manali).58. The largest dam is the Hirakud Dam in Orrisa.59. NH-44 (NH-7) which turns from Varanasi to Kanyakumari is the longest highway in India.60. Mango is India’s national fruit and Peacock is its national bird.61. The first mining of diamonds was done in India.62. India was the first to detect water on the Moon. India’s first Moon Satellite Chandrayaan-1 took the honor.63. “Amar Sonar Bangla” the national anthem of Bangladesh is written by Rabindranath Tagore of Indian origin.64. The Taj Mahal, one of the Seven Wonders of the World, is in India.One of the Seven Wonders of the World: The Taj Mahal65. As per world banks report, there is 23% of forest area in India.Some fun facts66. You would be amazed to know that the concept of shampoo was first inventedin India when herbs were used for strengthening hair.67. India is the largest gold buyer in the world while the United States holds the biggest gold reserves.68. Adolf Hitler – the dictator – was a big fan of Major Dhyanchand. He even offered him German citizenship when India defeated Germany in 1936 in the Berlin Olympic Finals.69. Cricket is India’s most popular sport while field hockey is another sport where the countrymen excel. Did you know that the India men’s national field hockey team won six consecutive gold medals in Olympics between 1928 and 1956?70. There is only one-time zone across all of India.71. It is illegal to carry Indian currency, Rupee, outside of India.72. While tea is the most popular beverage in India, the country is also its largest producer in the world.India Facts: 72 Interesting Facts About India - The Fact File