Real Estate Price Prediction

Last Updated on May 3, 2021


Prices of real estate properties are sophisticatedly linked with our economy. Despite this, we do not have accurate measures of housing prices based on the vast amount of data available. Therefore, the goal of this project is to use machine learning to predict the selling price of houses based on many economic factors such as number of BHK, Bathrooms and Location. This project develop and evaluate the performance and the predictive power of a model trained and tested on data collected from houses in Bengaluru’s suburbs. This model is used to predict the monetary value of a house located at the Bengaluru’s area. A model like this would be very valuable for a real estate agent who could make use of the information provided in a daily basis.

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Research Paper On Face Detection Using Haar Cascade Classifier

Last Updated on May 3, 2021



In the last several years, face detection has been listed as one of the most engaging fields in research. Face detection algorithms are used for the detection of frontal human faces. Face detection finds use in many applications such as face tracking, face analysis, and face recognition. In this paper, we are going to discuss face detection using a haar cascade classifier and OpenCV. In this study, we would be focusing on some of the face detection technology in use.


In this study, we covered and studied in detail about face detection technique using haar cascades classifier and OpenCV to get the desired output. Using the OpenCV library, the haar cascade classifier was able to perform successful face detection with high accuracy and efficiency. We also used the OpenCV package to extract some of the features of the face to compare them. Also, we discussed some popular face detection methods. Further, we discussed the scope of face detection in the future and some of its applications. At last, we conclude that the future of facial detection technology is bright Security and surveillance is the major segments that will be deeply influenced. Other areas that are now welcoming it are private industries, public buildings, and schools


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Voice Of The Day

Last Updated on May 3, 2021



The format used to work well on the radio, so we wanted to recreate those memories on Alexa.

What it does

Players can listen to up to three voice clips of well-known people and/or celebrities talking every day, as well as view a blurred image of the celebrity. After each clip, Alexa will ask you who you think is talking, and you must try to answer correctly. This will earn you a score for the monthly and all-time leader boards. The player can ask Alexa for hints, or to skip that voice clip to move onto the next one. Users scores are awarded depending on how many incorrect answers they gave for that voice and whether they used a hint or not. Users can also ask to hear yesterday’s answers, in case they couldn’t get the answers on that day.

How I built it

To create the structure of the skill, we used the Alexa Skills Kit CLI.

We used Amazons S3 storage for all our in-game assets such as the audio clips and images.

We used the Alexa Presentation Language to create the visual interface for the skill.

We used the Amazon GameOn SDK to create monthly and all-time leader boards for all users to enter without any sign up.

Every day, free users will be given the ‘easy’ clip to answer. The set of clips each day will be selected dependant on the day of the year. Users who have purchased premium gain access to the ‘medium’ and ‘hard’ clips every day, as well as being able to ask for hints for the voices, skip a voice if they are stuck, and enter scores onto the leader boards.

Accomplishments that I’m proud of

As well as creating a high-quality voice-only experience, we developed the skill to be very APL focused, which we are very proud of. The visual assets we used for the project were very high quality and we were able to dynamically display the appropriate data for each screen within the skill. The content loaded depends on who is talking, as well as the difficulty of the voice that the user is answering. APL also allowed us to blur and unblur the celebrity images, as opposed to having separate blurred and unblurred images for each person.

We were also very pleased with how we implemented the GameOn SDK SDK into the skill. When the user submits a score, they have a random avatar created for them, and their score will be submitted under this avatar. This avoids any sign up to use the leader boards, allowing all users to use it easily.

GameOn SDK also allows us to create monthly and all-time competitions/leader boards which all users are automatically entered.

What I learned

I have learnt how to develop APL as well as better practices for structuring it more efficiently. For example, there are many APL views in the project, all of which are almost identical, what I have learnt that would be more effective in future projects would be to condense these down into one primary view that I would use for each screen and just use the appropriate data.

I have also been able to hone prompts to the user for upsells and showing the leader boards. Testing has shown that constant prompts on each play for these things can become tedious to the user, and so we have reduced the frequency of these for a much better user experience.

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Last Updated on May 3, 2021



A website where you can go and play the game of truth game in sync.

In the game, you can create or join an existing room, Once you have joined the room you are asked to add your questions which you might ask someone in the game. Once everyone has entered their questions and is ready to play. You click on begin the game, which starts a 10-sec countdown after which all the entered questions from all the users in the room are laid out randomly on cards that are flipped so you can't see the questions.

And a random person is chosen by the game to flip the card and answer the question, which is also flipped in sync across all the users in the room


The project is built in a Node.js environment and uses to communicate with servers and across all the users in a room. When a user selects a card, a message regarding that particular card is sent to the server which in turn broadcasts the message to all the clients in a room and thus allowing the game to be played in sync. The server maintains the status of all the rooms and their current state.


Clone the repo, and move to the folder, and run the command node server.js

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Enterprise Ai

Last Updated on May 3, 2021


Enterprise AI is about enhancing the customer satisfaction index and to ensure customer stickiness to your organization. By infusing emerging technologies like artificial intelligence to engage and retain the set of customers. Using AI algorithm, we should address the use case. The business operation

processes like determining the customer sentiments from various different media like - Social media, Audio Calls, Video Calls, Images, Emails & Chats, interact with customers to provide quick and effortless

solutions, analyze and learn from buying behaviour to generate next best offer, ascertain customer retention and ensure lesser churn, derive AI-based Customer Segmentation, manage customer

touchpoints, evaluate customer feedback and engage with the customers. We provide a membership card to all the customers who purchase stocks in the store. By scanning the QR code the customer can fill the

feedback. Through the user can easily complete the feedback (Bad, Good, Very good) after purchasing. We are providing three categories (Bronze, Gold and Platinum) for our customers to categorize their

purchasing list to calculate the purchasing efficiency based on their quality ,they purchase. The customer who gives feedback as very good, they come under platinum category, best offers are provided to

them (free purchase for Rs.1000). Notifications will be sent to customers through the messages about the new products available along with its price. Best offers are also provided on festival occasions. We classify the feedback using classification algorithms like random forest to get the positive and negative feedbacks.

Negative feedback will be collected and rectified soon. Through this approach, the shopkeeper is able to get clear feedback about his shop easily.

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Dynamic Timetable

Last Updated on May 3, 2021



The "Dynamic Timetable" is my final year project which is PHP-based assigned by my college. Is useful to the scheduling process in colleges, and schools by generating timetable dynamically which could minimize the human work and maximize efficiency, and the timetable was stored in a database which could be easy to access. 

The problem was generating a timetable manually is more complex and difficult to assign all the labs, classrooms, classes, and staff without getting overlapped. Also, manage the timetable manually is more time-consuming and handy. So for solving this problem we choose to develop a user-friendly web application, Which helps to generate timetable automatically and saves a lot of time and also avoids overlapping. 

The main purpose of this project is to make user-friendly software, avoid manual problems/overlapping, Human errors, and efforts are reduced, Manages Lectures and practical.It also shows timetables for individual staff, for the classroom, lab, and for class(departments). While generating a timetable, avoids the overlapping between teachers, classes, labs over their scheduled time. If the staff/classroom/lab is already assigned to the same time slot and we are trying to assign them to a different class, this overlapping is solved in this project. By automating this process with Dynamic Timetable can save a lot of precious time of administrators who are involved in creating and managing timetables.


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