-3dc97f3d182b6b0ed3d-2642 20221104075953566 BEIE:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2022 11 4 Department of Electronic and Communication Engineering Deenbandhu Chhotu Ram University of Science and Technology, Murthal (Haryana), India. Pankaj Mukhija Priyanka Department of Electronic and Communication Engineering Deenbandhu Chhotu Ram University of Science and Technology, Murthal (Haryana), India. In India, vehicles on the road are increasing very rapidly. Either more infrastructures are required to meet the needs of an increase in vehicles which are costly and time-consuming projects. An intelligent transportation system can also overcome traffic and other related problems. In this paper, developments and achievements in the intelligent transportation system in India are taken into consideration. Some projects on the intelligent transportation system in India are listed, recent services added to Intelligent Transportation Systems are discussed, challenges and the future requirement for the intelligent transportation system in India are also taken into consideration. 11 30 2022 38 41 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7324.1111422 https://www.ijrte.org/portfolio-item/d73241111422/ Department of Optometry, Sushant University, Gurugram, India. Kamal Thakur Zeeshan Akhtar Department of Optometry, Sushant University, Gurugram, India. Antim Dev Mishra Department of Engineering and Technology, Sushant University, Gurugram, India. Prof. Monica Chaudhry Department of Optometry, Sushant University, Gurugram, India Visually impaired people often face difficulty to identify a nominal of money. Indian currency notes are available in different sizes and colours with tactile qualities that enable the visually impaired to identify different currency notes, but these tactile makers are worn out with usage. Various smartphone-based apps are available for note identification but using a smartphone by a visually impaired person gets difficult. So, it is necessary to design a device that supports visually impaired people in note identification. So, to overcome this problem we have designed an Indian currency identifier that will help visually impaired and blind people to identify Indian banknotes easily in less time using a colour sensor and sound module that will give output in audio form. The device makes use of a colour sensor and Arduino Uno to differentiate between currency denominations. The RGB output from the colour sensor is matched with the pre-stored RGB value. If RGB values fall inside any denomination pre-stored value the mp3 module is activated and the output voice is played from the store mp3 according to the result obtained from the Arduino Uno by mp3 module. A prototype was made to see the feasibility which has a Sensitivity of 85.71% and a Specificity of 66.66% to identify Indian currency notes. The cost of the construction of this device would be around 700-800 1NR. 11 30 2022 42 45 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7329.1111422 https://www.ijrte.org/portfolio-item/d73291111422/ Department of Computer Science and Engineering, (AIML and IoT), VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad (Telangana), India. Sagar Yeruva Addi Sathvika Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad (Telangana), India. Damera Sruthi Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad (Telangana), India. Duggasani Yaswanth Reddy Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad (Telangana), India. Gogineni Gopi Krishna Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad (Telangana), India. Nowadays, people are constantly moving towards various fashion products as a result the e-commerce market for garments is growing rapidly. Online stores must update their features according to user requirements and preferences. However, there are too many options for users to select from these online stores which may leave them in a dilemma to identify the correct outfit, save the user time, and increase sales, efficient recommendation systems are becoming a necessity for online retailers. In this paper, we proposed an Apparel Recommendation System that generates recommendations for users based on their input. We used a real-world data set taken from the online market giant Amazon using Amazon’s Product Advertising API. We aim to use keywords like brand, color, size, etc., to recommend. Data exploration to get detailed information about our dataset, Data Cleaning(pre-processing) to remove invalid sections, Model selection (We have compared different feature extraction techniques like bag of words, TF-IDF, and word2vec model) to find out efficient techniques and Deployment of the model that could facilitate recommendation system to simplify the task of apparel recommendation system. The accuracy of the model is identified using the response time and content matching. 11 30 2022 46 51 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7331.1111422 https://www.ijrte.org/portfolio-item/d73311111422/